The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.

The Role:

The Maintenance Group Leader will be responsible for leading a group of skilled, hourly workers to troubleshoot and repair complex equipment and processes. This position requires the ongoing application and enforcement of the National and Local UAW Agreements. Candidates must possess technical expertise to oversee and support maintenance operations, exercising independent judgment within the framework of Global Manufacturing Systems, with a focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE)

Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes that support the groundbreaking shift toward electric and autonomous vehicles.

What You'll Do (Responsibilities):

• Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required

• Manage multiple tasks in a fast-paced environment with competing priorities

• Drive accountability through people and processes which may require difficult conversations

• Conduct appropriate checks and tests, and communicate evaluation of results

• Proactively offers solutions to operational or technical issues

• Perform preventative maintenance and diagnosis of equipment malfunctions

• Maintains productivity and quality in line with organizational standards

• Implement divisional and corporate policies and safety and good housekeeping practices

• Maintain frequent contact and collaboration with others outside of the work group

• Supervises the efficient use of labor, inventory, and machinery

• Establish a course of action to accomplish completion of the job and/or project

Specific physical requirements of the position include the ability to:

• Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)

• Possess good physical stamina and coordination to frequently and repetitively:

  • Bend, twist, kneel, crouch and reach to perform work

  • Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.

  • Walk and stand for prolonged periods of time

  • Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment

• Read standardized work instructions, operate machines and tools, and perform quality inspections

• Promptly detect and respond to safety instructions, alarms, and signals

• Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes

Your Skills and Abilities (Required Qualifications):

• One year of direct team supervisory experience or at least 5 months as an internal GM per diem group leader

• Experience reading and understanding electrical, pneumatic, and hydraulic blueprints

• Experience solving complex problems and working in a fast-paced environment 

• Strong interpersonal skills, experience managing conflict and decision making

• Experience managing, leading people, and addressing performance concerns 

• Demonstrate a high analytical ability to solve complex problems

• Basic computer proficiency (i.e., Microsoft Word, typing, email, etc.)

• Must be willing to work rotating shifts

• Must be available and willing to regularly work weekends to meet production demands, including approximately two weekends per month

• 18 years of age or older

• High School Diploma or equivalent

What Can Give You a Competitive Edge (Preferred Qualifications):

• Strong critical thinking and analytical skills

• Experience working on multiple projects simultaneously

• Willingness to ask questions, take initiative and be resourceful

• High level of integrity, ability to deal with ambiguity, self-directed

• Experience collaborating across multiple functions within a manufacturing setting

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. 

Role:

As a Principal Technical Lead in the Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced ML models to reliably and safely navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard ML capabilities. 

What You'll Do:   

• Design and implement technologies that align our models to GM’s mission. 

• Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, guidance, and selection to raise the performance of our models and provide a layer safety and reliability. 

• Collaborate with cross-functional teams to integrate & align distillation recipes of foundation models for onboard driving models.  

• Conduct research and stay updated on the latest advancements in AI frameworks and libraries.  

• Lead projects from ideation to deployment, documenting learnings and best practices along the way.  

• Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement.  

Your Skills & Abilities:   

• Bachelor’s, Master’s or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field.  

• Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact. 

• Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines. 

• Proficiency in frameworks such as PyTorch and languages such as python.  

• Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams.  

• Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.  

• Excellent communication skills to effectively collaborate with diverse teams and stakeholders.  

• Experience deploying foundation models into production environments and understanding the end-to-end process.  

• Previous experience in Robotics or Autonomous Driving. 

Remote:  This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times per week, at minimum. 

Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. 

• The salary range for this role is $296,300.00 to $453,900.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. 

Benefits:  

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 

This job may be eligible for relocation benefits. 

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

#GM-AV-1

You will help shape display UX for automotive applications, with emphasis on head up displays, novel display concepts, display evaluation, driver monitoring informed interfaces, and related perceptual research that can guide future GM products.

In this position, you will work closely with GM internal customers and external partners to turn research insights into testable concepts, prototypes, and high value recommendations for future production systems.

This is a one-of-a-kind position to work do extremely interesting research with a highly talented cross-disciplinary team.

What you'll do

• Lead research and concept development for advanced in-vehicle display experiences, especially head up displays, other display concepts, and related HMI use cases.
• Design and execute studies on human visual perception, usability, workload, situation awareness, distraction, and trust as they relate to display systems and driver interaction.
• Create and evaluate prototypes, experiments, and demonstration systems that make research findings concrete and actionable.
• Translate product needs into clear research questions, success metrics, and design recommendations for future vehicle experiences.
• Provide guidance on product specification definition based on human perception
• Work across design, engineering, sensing, and product teams to refine requirements and identify innovation opportunities.
• Communicate findings clearly through internal presentations, technical documents, and external publications where appropriate.
• Build effective relationships with vendors, research institutes, and advanced technology partners to expand GM capability in display UX and perception driven design.

Required qualifications

• Master’s degree in engineering, human factors engineering, vision science, optics, computer science, or a related technical field
• Strong background in human machine interface research and experimental methods
• Strong background in human visual optics, depth perception, and color perception
• Experience in modeling of the human visual system
• Experience designing and running user studies, perceptual experiments, or usability evaluations
• Ability to turn ambiguous product questions into structured research plans and actionable recommendations
• Strong verbal and written communication skills
• Ability to work effectively across multidisciplinary teams while also independently driving projects
• Demonstrated ability to build momentum, overcome barriers, and execute with urgency
• Strong team player with the ability to collaborate effectively across multidisciplinary teams
• Perseverance and patience in working through difficult technical and research challenges
• High achiever with a track record of excellence and impact
• Creative thinker who can generate novel ideas and translate them into actionable research directions

Preferred qualifications

• PhD in engineering, vision science, human factors engineering, optics, or a related field
• Experience with automotive displays, head up displays, driver monitoring, or in-vehicle HMI
• Experience with display evaluation methods to evaluate display characteristics such as legibility, luminance and color contrast, visual comfort, attention, or cognitive load assessment
• Experience prototyping or evaluating interactive concepts for production-oriented systems
• Familiarity with eye tracking, human perception measurement, or multimodal interaction research
• Experience collaborating with design, product, and engineering teams on future concepts and technology transfer
• Track record of publications, patents, or externally visible technical contributions
• Strong evidence of growing technical leadership and influence

General Motors is expanding its in-house electronics capabilities to support next-generation Central Compute, ADAS, and software-defined vehicle platforms. The Senior Electrical Hardware Engineer will contribute across electrical architecture, circuit design, hardware integration, and validation to deliver robust, production-ready ECUs.

This role requires strong electrical engineering fundamentals combined with system-level thinking. The engineer will work across schematic development, component selection, layout guidance, electrical analysis, bring-up, and hardware/software interface definition.

Key Responsibilities

Hardware Architecture & Design

• Contribute to hardware architecture including power topology, high-speed interfaces, clocking, resets, and system partitioning.
• Develop and review schematics for complex mixed-signal and high-speed digital designs.
• Perform component selection with consideration for electrical performance, automotive qualification, reliability, thermal, and power constraints.
• Provide PCB layout guidance for signal integrity, power integrity, grounding, and EMI mitigation.
• Participate in design reviews and technical trade studies.

Electrical Analysis & Robustness

• Perform and review electrical analysis including:
  • WCCA (Worst Case Circuit Analysis)
  • Power distribution and sequencing validation
  • Interface margin and performance evaluation
• Contribute to DFMEA activities, addressing both design and interaction-related risks.
• Support Functional Safety (FuSA) hardware considerations as applicable.

Hardware Bring-Up & Debug

• Lead and support bench-level bring-up including power-on sequencing, clock validation, reset behavior, and interface activation.
• Debug hardware using oscilloscopes, logic analyzers, and protocol tools.
• Analyze failures and drive root cause resolution across hardware and system boundaries.
• Provide feedback to improve design robustness and integration margin.

Hardware–Software Interface & System Integration

• Develop and maintain Hardware Software Interface Specifications (HSIS).
• Collaborate with internal and external software teams during boot and low-level driver bring-up.
• Ensure hardware interfaces are clearly defined, testable, and aligned with software usage.
• Support system-level validation and readiness activities.

Verification & Cross-Functional Collaboration

• Contribute to hardware verification test plans and bench validation activities.
• Work closely with systems, software, validation, and manufacturing teams to ensure alignment.
• Support EV/DV/PV validation phases and issue resolution.
• Communicate technical status, risks, and mitigation plans clearly to stakeholders.

Required Qualifications

• Bachelor’s degree in Electrical Engineering or related field.
• 7+ years of experience in automotive or high-complexity electronics development.
• Strong fundamentals in analog and digital circuit design.
• Experience with schematic development and PCB layout guidance.
• Hands-on bench debugging experience.
• Experience contributing to WCCA and DFMEA.
• Strong written and verbal communication skills.

Preferred Qualifications

• Experience with Central Compute, ADAS, infotainment, or high-performance ECUs.
• Knowledge of high-speed interfaces (Ethernet, PCIe, DDR, SerDes).
• Familiarity with automotive standards including ISO 26262 and EMC requirements.
• Experience developing HSIS documentation.
• Experience collaborating closely with software teams on HW/SW integration.
• Experience supporting EV/DV/PV validation.

What We Offer

• Opportunity to contribute to next-generation vehicle compute platforms.
• Exposure across architecture, design, integration, and validation.
• Collaboration with senior technical leaders across hardware, systems, and software.
• Competitive compensation, benefits, and long-term technical growth.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
       • The salary range for this role is ($125,200 to $192,700). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
       • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
       • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

#LI-JK3

General Motors is at the forefront of the transformation of automotive with the electrification of our portfolio and the development of leading-edge central compute and autonomous capabilities. Our CCH (Central Compute Hardware) Mechanical Design team is a dynamic, high-energy, and innovative group focused on developing enclosures for next generation ECUs (Electronic Control Units) commonly shared across both future ICE and EV vehicles manufactured by GM. The team is responsible for developing Mechanical, EMI and Thermal design of new compute related electronics, with math, CAD and analysis. The team also reviews and approves production design changes.  

We are seeking a high-performing Mechanical Design Engineer interested in leading the in-house development of GM SDV (Software Defined Vehicle) electronics design and engineering. You will be responsible for the mechanical design, development, and review of Electrical Controllers, for our next generation SDV architecture. You will be depended upon to build strong partnerships with internal and external stakeholders and cross functional peers.

Responsibilities

• Execute mechanical design of electronics packaging / housings / enclosures per program timing, leading to successful launch of the product.
• Design mechanical components including castings, injection moldings, stampings, seals, vehicle interfaces, PCBA mounts, connector interfaces etc.
• Perform design calculations, GD&T and tolerance stacks.
• Create 3D-CAD math and lead CAD reviews with stakeholders.
• Develop analysis and test plan for new designs, perform proof of concept tests and analysis.
• Perform FEA (Structural, Vibration, Mechanical shock, Fatigue), Modal analysis.
• Lead prototyping and testing, analyze test data, and make necessary adjustments to mechanical designs.
• Lead DFx activities with suppliers and implement cost optimization strategies into design.
• Work with electrical engineers and PCBA designers to integrate components into electro-mechanical systems.
• Build partnerships with functional peers internally within GM and externally at suppliers to align on designs per development cycles.
• Communicate design progress and risks to stakeholders and cross functional partners
• Create 2D-drawings for housing, sub-assemblies & PCB as per ASME standards.

Qualifications – Required

• BS in Mechanical Engineering or related discipline
• 10+ years of engineering experience in design and development of active & passively cooled electronics housings and enclosures
• Experience designing for EMI/shielding, Sealing (IP / water management), Thermal
  management (heat spreaders, TIMs, air and/or coolant flow)
• Exceptional collaboration and teamwork skills; demonstrated ability for working across functional and organizational boundaries.
• Solid organizational skills and the ability to manage multiple projects simultaneously.
• Proficiency in 3D CAD modeling (NX and Teamcenter), 2D drawings, tolerance analysis, design for manufacturability, and assembly.
• Strong analytical skills and engineering fundamentals in solid mechanics, material science, heat transfer, mechanism design, and manufacturing
• Hands-on experience engaging with electronics manufacturers, hardware related suppliers, contract manufacturers and vehicle assembly / manufacturing teams.

Qualifications – Preferred

• Master’s degree/PhD in Mechanical / Electrical Engineering
• Mechanical design of PCBAs, computers, or automotive electronics
• Strong understanding of thermal solutions and their application.
• Knowledge of vibrational and structural analysis
• Experience with ASME Y14.5-2009 dimensioning & tolerancing standards.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

       • The salary range for this role is (159,400 - 245,000). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

       • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

       • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

#LI-JK3

The Construction Project Manager provides construction project management services for manufacturing plants (assembly, stamping, powertrain, casting, and paint), non-manufacturing sites and/or PDPM projects by overseeing all aspects of delivering completed projects. 

Responsibilities include the completion of all work including site/civil, buildings, and utilities infrastructure for assigned projects from funding approval through stakeholder occupancy. 

What You'll Do:

• Initiate and organize project teams consisting of multi-discipline members from engineering, finance, purchasing, safety, contractors, and stakeholders.
• Manage changing priorities and construction schedules.  Possesses the ability to decide and act without having the total picture, can handle multiple and concurrent diverse projects with minimal direct supervision, and can coordinate activities with key stakeholders and other disciplines.
• Employ rigorous logic and methods to solve difficult schedule and construction problems with effective solutions; probes all fruitful sources for answers; can see hidden problems; is excellent at honest analysis; looks beyond the obvious and doesn't stop at the first answers.
• Identify future issues related to construction schedules utilizing broad knowledge and perspective related to construction activities.  Future oriented and can create and execute competitive and breakthrough concepts related to facility design and construction. 
• Demonstrate strong self-management skills by independently prioritizing tasks, meeting deadlines, and driving projects forward with minimal supervision
• Performs other related duties as assigned

Your Skills & Abilities (Required Qualifications):

• 5+ years in project management experience within the industrial OR construction fields
• Bachelor's Degree preferred, or equivalent professional experience.
• Exposure to coordinating facilities design and construction activities   
• Exposure to Construction Contracts including engineering drawings and specifications
• Exposure to Building codes and construction specifications
• Exposure to construction safety and Safety Contract Management process
• Exposure to project budget management including change order processes
• Strong written and verbal communication skills
• Must be willing to travel up to 50% of the time both internationally and domestic

This role is categorized as on-site. Successful candidates are expected to work full time from the GM China Advanced Technical Center in Shanghai, China.

About GM China Design Studio

GM China Design Studio is both a production design studio and an advanced design studio. We shape meaningful vehicle experiences for GM brands serving customers in China and global markets, connecting near-term production programs with forward-looking exploration.

We are committed to creating an exceptional design environment where creativity, beauty, craftsmanship, and storytelling can thrive. Our designers work across disciplines and cultures to translate customer understanding, brand identity, emerging technologies, and new forms of mobility into compelling interior experiences.

About This Evergreen Requisition

This evergreen requisition is established for talent pipelining purposes. GM China Design Studio is building a long-term pipeline of exceptional Interior Designers across multiple levels, including Creative Designer, Senior Interior Designer, and Lead Interior Designer, in support of current and anticipated business needs.

We welcome applications from outstanding designers around the world who are interested in contributing to exciting production programs and advanced design work in our China studio. Depending on business needs and the candidate’s experience, future opportunities may involve different levels of responsibility, program scope, and creative leadership.

When submitting your application, please include:

• An updated resume or CV.
• An updated portfolio that clearly demonstrates your design thinking, creative process, visual communication, and relevant interior design capabilities.
• Please ensure that your portfolio does not contain undisclosed, confidential, proprietary, or otherwise sensitive information, projects, or materials belonging to current or previous employers or clients.

After your application is submitted, our recruiting and design teams will review your materials. If there is alignment with a current or future opportunity, a recruiter will contact you to discuss potential next steps. Because this is an evergreen requisition, the timing of contact may vary according to business needs and the fit between your experience and upcoming opportunities.

If you do not meet every element listed below but are interested in exploring an opportunity with GM China Design Studio, we still encourage you to apply. We value distinctive creative perspectives, strong design potential, and the ability to contribute to a collaborative studio environment.

The Role -

Interior Designers in GM China Design Studio help define the future of in-vehicle experiences for China and global markets. Depending on level and experience, you may contribute to or lead interior design themes from early advanced exploration through production execution, creating solutions that are emotionally compelling, brand-relevant, user-centered, and technically achievable.

You will collaborate with designers and partners across UX/HMI, CMF, Studio Engineering, Vehicle Systems Engineering, Product Planning, Customer Research, and global design studios. The scope of your contribution may range from developing design proposals and visual narratives to directing programs, presenting to senior leadership, and mentoring other designers.

What You’ll Do

Your responsibilities may include the following, depending on your level, experience, and assigned program:

Creative Designer-level contribution

• Develop interior design concepts, sketches, renderings, storyboards, and visual narratives under the guidance of more experienced designers.
• Explore alternative design themes and spatial ideas that respond to brand direction, customer needs, technology opportunities, and program objectives.
• Communicate interior concepts through strong 2D visualization, digital tools, VR/3D presentations, and other appropriate design media.
• Support the development of interior proposals from early ideation toward digital models, CAS, clay, or other design representations.
• Participate in design reviews, research activities, VR evaluations, and cross-functional discussions; incorporate feedback into refined design solutions.
• Build understanding of design feasibility, ergonomics, safety, regulatory requirements, manufacturing processes, craftsmanship, and surface quality.

Senior Designer-level contribution

• Independently develop and advance interior themes for assigned advanced or production programs, from early sketches through refined digital or physical design representations.
• Translate brand strategy, China customer insights, competitive references, and technology roadmaps into differentiated interior concepts and cohesive customer experiences.
• Create and communicate high-quality sketches, renderings, storyboards, digital models, VR/3D presentations, and design proposals that clearly explain spatial concepts, UX flows, materials, and atmosphere.
• Partner with UX/HMI and CMF designers to integrate displays, lighting, controls, materials, sound, and other elements into a holistic interior experience.
• Work with Studio Engineering, Vehicle Systems Engineering, Packaging, and other partners to balance creative ambition with feasibility, manufacturability, safety, ergonomics, regulatory requirements, quality, timing, and cost.
• Prepare and present design proposals in studio reviews, Design Leadership Team reviews, Global Design Reviews, executive forums, and other program gateways.
• Support customer clinics, design research, and VR evaluations by helping define stimuli, interpreting feedback, and translating learnings into actionable design directions.
• Contribute to a collaborative studio culture by sharing expertise and providing informal guidance to less experienced designers when appropriate.

Lead Designer-level contribution

• Define and drive the creative direction of assigned interior programs across advanced and production design phases, from early exploration through design freeze and production execution.
• Establish clear design strategies and differentiated interior themes that express GM brand DNA while responding to China-specific customer needs, market dynamics, and innovation opportunities.
• Direct the development and integration of interior design proposals across spatial experience, UX/HMI, CMF, lighting, controls, materials, sound, and other relevant domains.
• Lead design alignment with Studio Engineering, Vehicle Systems Engineering, Packaging, Product Planning, Customer Research, and global design studios to deliver solutions that are compelling, feasible, and program-ready.
• Represent GM China Design in key studio reviews, Design Leadership Team reviews, Global Design Reviews, customer clinics, VR evaluations, and executive design forums.
• Guide design direction, review work, provide constructive feedback, and mentor designers across different experience levels.
• Drive design deliverables and decision-making through the applicable Design GVDP process, maintaining alignment on timing, quality, craftsmanship, and leadership expectations.
• Champion China-specific insights and innovation while supporting consistency with global brand language and design standards.
• Contribute to advanced and exploratory work involving future cockpit concepts, new interaction models, AI- or data-enabled experiences, and emerging in-cabin technologies.

Contributions shared across levels

• Maintain a strong awareness of automotive interior design, customer behavior, competitive benchmarks, design trends, materials, digital tools, and emerging technologies.
• Apply a user-centered design mindset to different in-vehicle scenarios and customer needs.
• Uphold high standards for proportion, composition, craftsmanship, surface quality, visual communication, and overall design coherence.
• Engage constructively in a diverse, collaborative, and internationally connected studio environment.
• Demonstrate discretion and respect for intellectual property and confidential information throughout the design process.

Your Skills & Abilities (Required Qualifications) :

We welcome designers with different career paths, backgrounds, and levels of experience. The following qualifications are intended to describe the capabilities that may be relevant to these opportunities rather than serve as a checklist that every applicant must fully satisfy.

• A degree in Transportation Design, Automotive Design, Industrial Design, or a related discipline; equivalent professional experience and a compelling portfolio may also be considered.
• Experience in automotive, transportation, mobility, industrial, product, spatial, experience, or another closely related design field. The depth of experience expected will vary by level, from emerging design talent to experienced program and team leaders.
• The ability to develop relevant and distinctive design concepts, themes, and proposals, with a clear connection between design intent, user experience, brand expression, and execution.
• Strong 2D visual communication skills, including sketching, rendering, storytelling, presentation, and the ability to communicate design thinking clearly.
• Experience with digital design tools, 3D visualization, digital modeling, VR, CAS, clay, or other methods used to develop and communicate interior design concepts. The specific toolset is less important than the quality of the design thinking and the ability to learn and adapt.
• Conceptual thinking and the ability to explore multiple solutions while making clear design decisions.
• An understanding of how interior design interacts with UX/HMI, CMF, engineering, packaging, manufacturing, ergonomics, safety, regulation, quality, and customer research.
• A genuine interest in holistic design and the ability to contribute from early concept development through later-stage design refinement and execution.
• The ability to understand customer needs in different scenarios and use design to improve the in-vehicle experience.
• Strong collaboration and communication skills, including the ability to give and receive feedback in a multicultural and cross-functional environment.
• For more experienced opportunities: the ability to lead program direction, influence stakeholders, present to senior audiences, mentor designers, and connect creative ambition with business and technical realities.
• For emerging opportunities: demonstrated design potential, curiosity, willingness to learn, and the ability to develop ideas through a thoughtful and visually compelling process.

Why Join GM China Design Studio

You will have the opportunity to work in a studio that connects advanced design exploration with real production impact. You will collaborate with colleagues across China and the global GM Design network, contribute to vehicle experiences for diverse customers, and help shape the next generation of automotive interiors through creativity, beauty, technology, and storytelling.

We are interested in meeting exceptional designers at different stages of their careers. Your portfolio, perspective, and potential may align with an opportunity even if your experience does not map perfectly to every item in this description.

At AV (Autonomous Vehicles) Software Organization within General Motors, we are working on developing cutting-edge ADAS and AV features for next-generation vehicles.  

As the ADAS/AV Platform Software Verification Engineer, you will play a crucial role in defining, implementing, and optimizing system testing to ensure the quality, safety, and reliability of the ADAS platform software. 

Responsibilities:

• Design and develop scalable, high-coverage software testing for the ADAS/AV platform. 

• Analyze diagnostics from a full-vehicle perspective to support efficient triaging and debugging related to ADAS/AV Platform Software. 

• Build and Maintain hardware-in-the-loop (HIL), software-in-the-loop (SIL), and vehicle-in-the-loop (VIL) testing environments.

• Ensure compliance with legal standards and safety requirements, including ISO 26262, SOTIF, FMVSS 111, and FMVSS 127, while improving test coverage and metrics. 

• Collaborate with Software Infra and application teams to develop new test cases, leveraging expertise in Service-Oriented Architecture, Middleware communication (Pub Sub/DDS/Subspace), diagnostics, Linux and QNX. 

• Work closely with Software Development and Hardware teams to debug and root-cause issues within Linux/QNX-based ADAS/AV Platform Software. 

• Create Test automation frameworks, develop test scripts, and execute automated tests to enhance validation efficiency. 

• Conduct and assist with test result analysis, including FMEA, Root Cause Analysis (Ishikawa/Fishbone Analysis, A-B-A Testing). 

• Assist in issue triaging, log analysis, and troubleshooting ADAS/AV Platform issues. 

Required Qualifications:

• Bachelor's degree in electronics, computer science, electrical engineering or a related technical degree

• Minimum of 6 years of professional technical experience

• Minimum of 3 years of working experience in Software Verification and Validation. 

• Strong Programming skills in Python, CAPL, Vehicle Spy and Robot Framework . 

• Good understanding of Vehicle networks like CAN and Ethernet.  

• Knowledge of network analysis and debugging tools, Ex: Wireshark, CANoe/CANalyzer, INCA, RAD Galaxy RAD Gigastar.  

• Ability to understand the requirements and transfer that into Test Scenarios, Situations / Tests, or testable scripts to be used in vehicle simulation environments. 

• Flexible, dependable, self-initiative, and capable of learning new skills and technologies.

• Possess a valid driver’s license and the ability to operate test vehicles  

Preferred Qualifications:

• Must have hands-on Experience with QNX or Linux based software systems and Embedded programming. 

• Knowledge in ROS, Linux-based embedded systems, and RTOS environments. 

• Excellent cross-collaboration and critical problem-solving skills. 

• Experience in Unified Diagnostic Services (ISO 14229), TCP and UDP . 

• Knowledge of automotive communication protocols (Ethernet, DDS, CAN, SOME/IP)

Vacancy Status:

O que você irá fazer (Responsabilidades):

• Atuação na linha de produção de automóveis, montagem e instalações de painéis, de tapeçaria, de motor, de bancos, de portas, lâmpadas, etc.;

• Possuímos áreas onde é necessária a experiência e atuação em pintura e funilaria automotivas;

• Abastecimento de linhas produtivas;

• Montagem de equipamentos, operação, manutenção e limpeza de máquinas e assistência aos operadores;

• Realização de transferência de turno, passando as informações importantes para a equipe do próximo turno;

• Auxiliar no processo de embalagem e montagem do produto;

• Prezar pela segurança da área, da empresa e dos colegas de trabalho, seguindo normas e procedimentos específicos;

• Seguir as normas de segurança estabelecidas pela empresa para que possa realizar as atividades de maneira segura;

• Revezar os postos de trabalho.

Suas Competências e Habilidades (qualificações mandatórias):

• Formação: Ensino Fundamental Completo com certificado;

• Homens devem ter Certificado de Reservista (Dispensa);

• Disponibilidade para atuar em Gravataí;

• Disponibilidade de trabalhar em qualquer um dos turnos;

• Disponibilidade de trabalho aos finais de semana, caso haja necessidade.

O que pode lhe dar uma vantagem competitiva (qualificações desejáveis):

• Curso técnico e/ou do Senai;

• Experiência em montagem ou vivência em indústria automotiva, autopeças, concessionárias, instalações de sons, pintura automotiva, funilaria, martelinho de ouro e tapeçaria.

Importante: Não esquecer de anexar o seu currículo ou sua candidatura não será considerada .

We are seeking a highly skilled Mechanical Design Engineer to lead the in-house mechanical design and CAD development of next-generation display systems for GM's Software Defined Vehicles (SDVs). In this role, you will be responsible for creating innovative mechanical design solutions that integrate advanced electronics, styling requirements, manufacturability, and vehicle packaging constraints.

You will own the mechanical architecture and CAD development for display systems, including styled surfaces, decorative components, display panels, PCBs, connectors, mounting strategies, and B-side integration features such as clips, fasteners, and attachment structures. Success in this role requires strong collaboration across Engineering, Design Studio, Manufacturing, CAE, and supplier teams to deliver world-class display experiences.

This position is ideal for someone who enjoys solving complex integration challenges, influencing vehicle programs from concept through production, and driving best practices in virtual vehicle integration and display design.

What You'll Do

• Lead mechanical design and CAD development for vehicle display systems and related electronics integration.
• Create and optimize packaging concepts, virtual layouts, and design solutions that meet system, styling, manufacturing, and program requirements.
• Develop and maintain CAD models, assemblies, and release data using GM's engineering tools and data management systems.
• Drive display integration activities throughout multiple phases of the Global Vehicle Development Process (GVDP).
• Perform packaging studies, clearance analysis, tolerance reviews, and design evaluations to support vehicle integration.
• Work closely with CAE teams to improve designs through simulation, analysis, and validation results.
• Facilitate design reviews and provide recommendations regarding architecture, manufacturability, assembly, and system integration.
• Mentor engineers and designers on display design standards, CAD methodologies, virtual integration processes, and best practices.
• Support continuous improvement through lessons learned, standards development, and implementation of advanced modeling techniques.
• Release engineering data and documentation on time with a focus on quality and compliance.

Key Responsibilities

• Develop, refine, and maintain display design criteria, typical sections, and standard modeling methods.
• Own virtual integration methods and best practices for display systems.
• Apply Design for Manufacturing (DFM) and Design for Assembly (DFA) principles throughout the design process.
• Create and maintain material, mass, and component specifications.
• Independently integrate subsystem and component designs into complete vehicle architectures.
• Generate alternative concepts and recommend solutions that balance performance, cost, quality, and manufacturability.
• Collaborate effectively with global engineering teams, design studios, suppliers, and cross-functional partners.
• Stay current on emerging display technologies, vehicle interior trends, and advanced manufacturing methods.

Required Qualifications

• Bachelor's degree in Mechanical Engineering, Product Design, or a related technical field with 3+ years of product design experience, OR
• 10+ years of product design experience in lieu of a technical degree.
• Experience using GM engineering tools, including:
  • NX
  • Teamcenter
  • Vis Mockup
  • CAD release and data management systems
• Strong understanding of product development and manufacturing processes including:
  • Injection molding
  • Stamping
  • Machining
  • Extrusion
• Knowledge of vehicle development processes and engineering release systems.
• Experience supporting CAD-based design and vehicle integration activities.
• Working knowledge of CAE-supported design development.
• Proficiency with Microsoft Office Suite.
• Ability to independently solve complex design challenges while driving alignment across cross-functional teams.

Preferred Qualifications

• Automotive interior electronics or display system design experience.
• Experience packaging and integrating:
  • PCBs
  • Electronic displays
  • Connectors
  • Electrical hardware
• Knowledge of:
  • Stamped metal design
  • Cast metal design
  • A-side and B-side plastic design
  • Paint, plating, and cosmetic surface requirements
• Strong understanding of quality, manufacturability, and assembly requirements for automotive electronics.
• Excellent communication, collaboration, and leadership skills.

Why This Role

You'll have the opportunity to shape the future of the in-vehicle experience by designing display systems that define how customers interact with GM's next generation of Software Defined Vehicles. Working alongside world-class engineering and design teams, you'll play a key role in bringing innovative display technologies from concept to production.

#LI-JK3

The Role -

GM Design China is seeking a Advanced CMF and Brand Designer to lead forward-looking color, material, and finish strategy across concept, advanced, and production-relevant vehicle programs. This role is responsible for shaping a strong CMF point of view for the brand, identifying future design opportunities, and translating cultural insight, trend foresight, and material innovation into compelling design direction.

This is not simply a program execution role. The successful candidate will help define the next chapter of GM’s CMF expression in China by building advanced proposals, influencing brand material strategy, and guiding the development of distinctive, emotionally resonant, and future-facing CMF experiences across interior, exterior, and holistic brand touchpoints .

The role also carries an important brand-facing responsibility , with an approximate split of 70% Advanced CMF and 30% brand . This designer will help articulate how Design contributes to brand meaning, desirability, and storytelling, and will interface closely with marketing and communications partners to ensure Design direction can support broader brand narratives, launch stories, and customer-facing content.

The Role & What You’ll Do

• Lead development of strategic CMF vision for advanced and production programs, aligning proposals with brand intent, market shifts, and future customer expectations.
• Define and communicate long-range CMF direction through trend forecasting, cultural insight, competitive analysis, and material storytelling.
• Create advanced color, material, grain, décor, and finish concepts that push brand differentiation and inspire future design programs.
• Build compelling CMF narratives, seasonal or program-specific palettes, and material frameworks that can guide both concept exploration and downstream execution.
• Identify and develop innovative, sustainable, and next-generation materials and finishes in collaboration with internal partners and external suppliers.
• Networking and relationship building with material suppliers, innovation partners, and development teams.
• Influence brand material strategy by proposing new expressions, material typologies, finish directions, and design principles relevant to China and global design teams.
• Help define the role of CMF within the broader brand experience , ensuring color and material direction supports a clear, distinctive, and emotionally resonant brand identity.
• Interface closely with marketing and communications teams to align CMF strategy with brand storytelling, product messaging, launch narratives, and customer-facing communication.
• Partner across China and Global Design, brand, marketing, communications, and business stakeholders to translate CMF thinking into language and visual assets that can support both internal alignment and external expression.
• Serve as a key interface with global design and brand partners , ensuring China insights, CMF strategy, and brand direction are aligned with global frameworks while also advocating for China-relevant opportunities and market needs.
• Work closely with Design, Engineering, Program Teams, Appearance Quality, and suppliers to ensure advanced ideas are informed by feasibility while preserving creative ambition.
• Lead preparation of high-quality strategic deliverables, including trend decks, material stories, renderings, sample boards, vision presentations, and leadership review content.
• Support the translation of advanced CMF thinking into clear targets and direction for production-facing teams when appropriate.
• Mentor junior designers and contribute to a strong culture of curiosity, innovation, material excellence, and design rigor across the CMF team.

Your Skills & Abilities (Required Qualifications) :

• Bachelor’s degree in CMF Design, Industrial Design, Material Design, Textile Design, Fashion Design, or a related field
• Typically 8+ years of professional CMF design experience in automotive, mobility, product, fashion, or other design-driven industries
• Strong portfolio demonstrating excellence in strategic CMF thinking, advanced concept development, trend translation, and brand-led material storytelling
• Deep understanding of materials, finishes, textures, grains, décor, color harmony, and emerging process opportunities
• Proven ability to move from insight and vision through concept definition and into production-aware design direction
• Strong visual communication and presentation skills, including digital and physical CMF storytelling for senior leadership audiences
• Ability to work effectively in a highly collaborative, cross-functional, and global environment
• Fluent spoken and written English ; Mandarin capability strongly preferred

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience working across premium or luxury brands
• Strong understanding of China market trends , customer aspirations, and cultural design signals
• Experience with advanced design, concept vehicles, sustainability strategy, and future mobility
• Strong network or experience working with material suppliers, innovation partners, and development teams
• Ability to influence direction through strong design rationale, strategic thinking, and executive-level storytelling

The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.

The Role:

We are seeking a motivated and detail-oriented Entry-Level Group Leader to join our manufacturing team. This role supports production operations with a strong focus on quality, process control, and continuous improvement. 

Selected candidates will gain the chance to develop new skills while contributing to the advancement of manufacturing processes, with opportunities to grow into expanded leadership roles and responsibilities over time.

What You'll Do (Responsibilities):

• Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required

• Manage multiple tasks in a fast-paced environment with competing priorities

• Oversee production, inspection, and GM Built-in-Quality initiatives

• Apply independent judgment within Global Manufacturing Systems, emphasizing Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).

• Drive accountability through people and processes which may require difficult conversations

Specific physical requirements of the position include the ability to:

• Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)

• Possess good physical stamina and coordination to frequently and repetitively:

  • Bend, twist, kneel, crouch and reach to perform work

  • Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.

  • Walk and stand for prolonged periods of time

  • Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment

• Read standardized work instructions, operate machines and tools, and perform quality inspections

• Promptly detect and respond to safety instructions, alarms, and signals

• Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes

Your Skills and Abilities (Required Qualifications):

• 18+ years old

• High school diploma or equivalent

• Must be able and willing to work rotating shifts, weekends, and overtime when required

• Satisfactorily complete drug testing and a background check

• Proficiency to listen, read, follow work and safety instructions

• Ability to solve complex problems and work in a fast-paced environment and make decisions in ambiguous fast-paced environment

• Strong interpersonal skills and ability to manage conflict effectively

• Basic computer proficiency (i.e., Microsoft applications, typing, email, etc.)

What Can Give You a Competitive Edge (Preferred Qualifications):

• Experience in process engineering

• Understanding of automotive manufacturing processes and production flow

• Understanding of traceability requirements and data collection for commodities in assigned area

• Experience supervising employees in a union environment

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

The Role

As a Principal Software Systems Engineer in the Autonomy Behavior Validation team, you will set the technical direction for turning safety and behavior requirements into a production-grade counterfactual simulation product.

You will build a capability that turns real incidents and simulation scenarios into trustworthy engineering evidence for developers, release decisions, and launch decisions. This includes scene reconstruction, implementation of safety-defined attentive-human benchmarks, human and other road-user response models, counterfactual simulation following intervention, controlled scene variation, outcome and severity estimation, and the validation needed to understand when a result is credible enough to support a decision. You will partner with Safety and other stakeholders to define and refine requirements and benchmark definitions, then turn them into scalable, auditable, and repeatable simulation workflows.

What You’ll Do

• Set the technical strategy and architecture for counterfactual behavior evaluation, including operationalizing safety-defined attentive-human benchmarks, counterfactual simulation following human intervention, alternate-policy comparisons, and controlled scene perturbations.

• Lead the conversion of real incidents and simulation events into executable, provenance-preserving scenarios with enough fidelity, repeatability, and uncertainty characterization to support engineering and safety decisions.

• Implement and validate human and other road-user response models against agreed benchmarks and requirements, including perception and reaction timing, maneuver selection, vehicle dynamics, and the range of plausible outcomes.

• Define and deploy scalable pipelines for parameter extraction, scene reconstruction, counterfactual swaps, fuzzing, simulation execution, outcome estimation, and analysis of large scenario sets.

• Establish how the counterfactual product and its outputs are validated, including comparison to baseline runs, replay and closed-course evidence, model limitations, confidence, traceability to requirements, and appropriate use of results.

• Lead work across Behavior, Simulation, Safety, Human Factors, Legal, Product, and Operations, turning complex results into clear engineering actions, safety-case evidence, and release recommendations.

Required Qualifications

• Master’s degree in systems engineering, mechanical engineering, aerospace engineering, electrical engineering, computer science, robotics, human factors, or a related field.

• 10 or more years of professional experience in autonomous vehicles, robotics, vehicle development, simulation, systems engineering, human factors, or safety-critical validation.

• A proven record of evaluating autonomous vehicles for a self-driving fleet, launch, supervised release, or other high-consequence product decision.

• Strong understanding of human behavior modeling, driver response, perception and reaction time, vehicle dynamics, uncertainty, and the limits of model-based conclusions.

• Deep experience building or leading counterfactual, replay, crash reconstruction, incident analysis, or comparable simulation-based evaluation capabilities.

• Professional experience with simulation evaluation at scale, including scenario generation, parameter sweeps, distributed execution, reproducibility, data quality, and the trade-offs between fidelity, confidence, runtime, and cost.

• Strong Python and agentic workflow experience. You should be comfortable designing and reviewing production-quality analysis, simulation, and validation software and using code to investigate an engineering question quickly.

• Strong written and verbal communication skills, with the ability to explain technical results, assumptions, and limitations to both engineering and non-engineering stakeholders.

• Demonstrated technical leadership across organizational boundaries and evidence of setting direction beyond a single project through a methodology, platform, framework, or reusable validation capability adopted by other teams.

What Will Give You a Competitive Edge

• Experience operationalizing attentive-human benchmarks from naturalistic driving data, human factors research, expert review, or experimentally grounded response-time and maneuver models.

• Experience with traffic collision reconstruction or incident reconstruction using vehicle logs, sensor data, maps, physical constraints, and other evidence sources.

• Experience modeling other road-user behavior and the interaction between ego behavior, participant response, and environmental conditions.

• Experience with collision severity, injury-risk, risk quantification, safety claims, safety cases, hazard analysis, or residual-risk decisions.

• Experience validating simulation fidelity and counterfactual predictions against real drives, non-intervened events, closed-course tests, or other independent evidence.

• Experience translating legal or regulatory expectations into defensible reconstruction methods, validation evidence, or documented claims.

• A track record of developing engineers, leading technical communities, and making a broader organization better at systems engineering, simulation, and validation.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
·     The salary range for this role: is $238,700 to $365,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
·     Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
·     Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more

About the Organization    

This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)

AI Disclosure: 
As part of the application process, Artificial Intelligence will be used in the hiring process for this role

Remote/ Hybrid position :
Candidates can be considered anywhere in the country of work, but if someone is within 75kms of a hub, they are required to be onsite 3 days a week at Markham Elevation Center three times per week, at minimum [or other frequency dictated by the business].

About The Role 

Our vehicle communication team is hiring a software engineer to design and develop software in our Linux-based networking system.  You'll be part of a team working to ship the world’s most reliable connectivity. 

What You'll Do 

GM is developing a   breakthrough new system   for vehicle software and communications, and you'll be at the heart of it.  We design our own hardware, so you'll work closely with hardware teams to meet the tough power and reliability requirements of vehicles.   You'll also work closely with our application and cloud teams to ensure end-to-end reliability and performance.  

Your Skills and Abilities (Required Qualifications) 

• This is a networking role, so you should know networking fundamentals like TCP/IP and how the whole network stack works - from drivers through applications.   

• You should also understand application-level protocols like HTTP (and how application developers use those protocols).   

• You know how to triage complicated system-wide issues in a team.   

• Our operating systems are Linux, Android, and QNX - you should know how networking operates on at least one of these platforms. 

• Most of our code is written in C, C++, and Java, so we expect you know at least one of these languages well.   

• BS/MS/PhD in computer science or electrical engineering (or equivalent experience) 

• 5+ years software development experience  

What Will Give You A Competitive Edge (Preferred Qualifications)​     

• Knowing WiFi, LTE, 5G, Bluetooth and/or UWB is great.  (If you don't know those things, you will if you work here!)   

• Vehicles are "data centers on wheels," so physical connectivity is important.   

• If you've used a packet sniffer or protocol analyzer, you’re a great fit for us. 

• Demonstrated experience with methods for shipping highly-reliable software (such as telemetry/observability) is useful 

• We value writing and collaboration skills – they’re key to good system design 

Compensation: 

The salary range for this role is $147000 to $196,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE

Benefits:

The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:

• Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
• Healthcare, dental and vision benefits including health care spending account and wellness incentive.
• Life insurance plans to cover you and your family.
• Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
• GM Vehicle Purchase Plan for you, your family.

This role is categorized as hybrid. This means the successful candidate is expected to report tooffices in Austin, TX, Warren, MI or Seattle, WA three times per week, at minimum.

The Role:  

The GM Data Engineering team is seeking early career candidates to help build large scale data platforms on cloud environments.  The ideal applicants for these roles have a bachelor’s degree in software engineering, computer science, mathematics, information technology or similar.   

What You'll Do:  

·       Lead the design and development of migrating on-prem data systems to cloud environments 

·       Design data solutions around current and future data security and privacy requirements 

·       Work with data engineers and data scientists to understand data needs and deliver solutions 

·       Build and maintain operational and analytic datastores 

·       Assist in designing, developing, and maintaining ETL/ELT pipelines 

·       Document processes and contribute to knowledge sharing within the team 

·       Learn how to optimize cloud compute and storage cost 

Your Skills & Abilities

·       Pursuit of a bachelor’s degree in one of the following areas: Computer Science, Software Engineering, Electrical/Computer Engineering, Information Technology or related degree 

·       Able to work fulltime, 40 hours per week  

What Will Give You a Competitive Edge

·       Strong SQL skills and familiarity with modern databases  

·       Basic programming experience in Python, Java, and/or Scala 

·       Understanding of data modeling concepts and ETL processes 

·       Excellent problem-solving and communication skills 

·       Eagerness to learn and grow in a collaborative environment 

·       Familiarity with cloud platforms (AWS, GCP, or Azure) and data engineering platforms (Databricks / Snowflake) and Git and basic Linux/CLI is a plus 

Compensation  

The salary range for this role is from $84,900 - $130,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

What you’ll get from us (Benefits):  

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.   

This job may be eligible for relocation benefits.  

The Role

As a Software Development Manager, you will be responsible for leading and managing one or more software development teams. You are expected to leverage your technical background to ensure that software is designed and developed using sound, repeatable, industry standard methodologies and in accordance with GM’s software development project methodology; including but not limited to standards in code quality, performance, stability, security and overall alignment and compliance with project objectives.

The ideal candidate brings strong people leadership and hands-on expertise in Web application development technologies such as Angular, React, .Net Core, Postgresql etc. The role requires someone who can coach engineers, guide architecture and delivery decisions, and stay close enough to the work to help unblock complex technical and platform challenges.

What You’ll Do

• Set technical and delivery direction by translating business strategy into team priorities, roadmaps, and measurable success metrics and outcomes. 
• Lead and develop engineering teams through hiring, coaching, feedback, mentoring, stretch work, and career development.
• Manage concurrent projects and delivery execution, including scope, capacity, dependencies, risks, blockers, and on-time delivery of high-quality data products. 
• Provide technical leadership and promote strong software engineering practices, quality, experimentation, reusable patterns, governance, and scalable solutions.
• Strengthen reliability, scalability, and operational excellence across the platform space.
• Communicate status and escalate issues through program reviews, Jira/Confluence reporting, risk tracking, and leadership updates. 
• Lead performance tuning, usability assessment / improvement, AI adoption and automation technologies.
• Assess security risks for applications and code remediation techniques.
• Oversee Integration efforts of software or solutions with existing software/systems.
• Expert knowledge of maintaining and debugging live software systems.
• Understand and maintain compliance with GM standards and industry best practice.
• Provide support for deployment and post Go-live. Able to troubleshoot and lead the production incidents to closure.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in computer science, engineering, information systems, or equivalent practical experience.
• Minimum of 10 years of development experience.
• 5+ years of leadership experience including developing teams
• Strong knowledge of web development technologies such as .Net Core / Spring boot, Angular/React, Microservices, REST based APIs, Azure or other cloud technologies, GitHub, Jira, Messaging middleware such as Azure Event Hub / Kafka, etc.
• Proficiency in database technologies and SQL such as PostgreSQL
• Strong cross-functional collaboration and communication skills.

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Strong Customer and Loyalty domain expertise.
• Experience leading cloud migration efforts for enterprise applications and modernization efforts.
• Experience with Salesforce.
• Hands on experience using AI technologies to improve productivity.
• Ability to balance strategic leadership with hands-on technical engagement.
• Experience influencing cross-functional decisions and platform direction.

• Follow established safety procedures according to OSHA standards and company procedures
• Responsible for the maintenance and repair of electrical equipment
• Analyze and troubleshoot electrical malfunctions in equipment and related components, diagnosing and correcting the problems quickly to avoid production delays
• Perform electrical preventative and corrective maintenance on all plant equipment
• Promote teamwork and show a willingness to work with other departments
• Participate in continuous improvement activities
• Read and interpret drawings and wiring schematics
• Demonstrate strong problem-solving skills

Interested individuals must meet the following minimum qualifications:

• At least six (6) years of related experience as an Electrician or a U.S. Department of Labor Certificate of Completion in the Electrical trade.
• Must be able to satisfactorily complete the General Motors hiring process requirements which includes  comprehensive assessments, drug testing, and a background check
• At least 18 years of age
• Eligible to work in the United States
• Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.
This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($38.90-$45.38 ) or Journeyperson rate of ($46.31). Certificates/credentials and scoring in interview will determine your status and pay.

Physical Requirements:

• Quick response to safety instructions, alarms, and signals are a must
• Ability to work and stand for extended periods
• Comfortably wear personal protective equipment
• Navigate a busy environment
• Bend, twist, kneel, crouch, and reach
• May need to lift or carry materials weighing up to 50 lbs. depending on department
• Occasional sitting during certain tasks
• Drive mobile equipment when needed

General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.

Relocation and travel expenses will be the responsibility of the applicant.

Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.

REQUIREMENTS: Bachelor's degree in Computer Applications, Applied Computer Science, Mathematics, Engineering, or related field of study and Five (5) years of experience as a Software Engineer or related role. Five (5) years of experience with: Software development in complex platforms including a cloud-native environment; Developing 12-factor microservices while utilizing Continuous Integration, Build, and Delivery with Spring and Spring Boot; Microservices, RESTAPIs and event driven architecture and performance optimization techniques; Developing JAVA and Spring boot-based components; JAVA, Spring boot and related tech stack, Spring

Cloud, REST, KAFKA, PULSAR, JMS, ORACLE, POSTGRES, and AKKA Framework; Debugging, triaging, and analyzing production issues using tools including ELK stack and Prometheus; and Cloud computing concepts and cloud platforms including Cloud Foundry, AWS, Azure, and Google Cloud.

#LI-DNI

General Motors has needs for qualified Industrial Electrician Journeypersons. Working under minimal supervision, the skilled trades Electrician Journeyperson is responsible for layout, installation, repair and preventative maintenance of complicated electrical equipment and circuits, troubleshooting and technical expertise on control systems.

Primary Responsibilities:

• Follow established safety procedures according to OSHA standards and company procedures
• Responsible for the maintenance and repair of electrical equipment
• Analyze and troubleshoot electrical malfunctions in equipment and related components, diagnosing and correcting the problems quickly to avoid production delays
• Perform electrical preventative and corrective maintenance on all plant equipment
• Promote teamwork and show a willingness to work with other departments
• Participate in continuous improvement activities
• Read and interpret drawings and wiring schematics
• Demonstrate strong problem-solving skills

Interested individuals must meet the following minimum qualifications:

• U.S. Department of Labor Completion of Apprenticeship Certificate in Electrical trade or six (6) years of documented experience as an Electrician
• Must be able to satisfactorily complete the General Motors hiring process requirements which include   comprehensive assessments, hair drug testing, and a background check
• At least 18 years of age
• Eligible to work in the United States
• Must be willing to work flexible shift hours and day, afternoon, or night shift as well as overtime hours daily, weekends and holidays on those shifts with little notice
• This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($38.90 - $45.38) or Journeyperson rate of $46.31. Certificates/credentials and scoring in interview will determine your status and pay.
• GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.  DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
• If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.

Physical Requirements

• Quick response to safety instructions, alarms, and signals are a must
• Ability to work and stand for extended periods
• Comfortably wear personal protective equipment
• Navigate a busy environment
• Bend, twist, kneel, crouch, and reach
• May need to lift or carry materials weighing up to 50 lbs. depending on department
• Occasional sitting during certain tasks
• Drive mobile equipment when needed

General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.

Relocation and travel expenses will be the responsibility of the applicant.

Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.

REQUIREMENTS: Bachelor's degree in Computer Engineering, Computer Science, or related field of study and Five (5) years of experience as a Software Engineer, Software Developer, or related role. Five (5) years of experience with: Delivering Java and JEE Business Solutions; Full software development lifecycle (SDLC); SQL and Oracle; OO analysis and design experience; Agile Development Techniques including TDD, JUnit, Mocks, and Pair Programming; SQL, Hibernate, Web Services including REST and SOAP, and WebLogic; and Microservices, Pivotal Cloud Foundry, Spark, Kubernetes, Akka, Pulsar, RabbitMQ, Cassandra, Redis, Bitbucket, and Maven. Three (3) years of experience with: Web technologies including HTML 5, CSS 3, jQuery, JavaScript, and Adobe CQ.

#LI-DNI

The Role  

The Manufacturing Data Engineering organization designs, builds, and maintains scalable data systems for manufacturing, with a focus on key domains such as process, materials, sustainability, labor relations, safety, and facility data, and it owns battery data analytics.  Our mission is to create enterprise data platforms and products that transform raw manufacturing data into trusted, governed insights that enable data-driven decisions across the business.

Device Core Engineering is responsible for the plant‑floor device data pipeline. Our charter is to make high‑quality manufacturing device data reliably available in the cloud so analytics, AI , and operational teams can improve throughput, quality, maintenance, and cost across GM’s plants.

We are seeking a Senior Software Engineer to lead integration with robotic devices and capture production data from plants across the global manufacturing network.

What You’ll Do

• Own full lifecycle application development using standard frameworks, coding standards, and design patterns for interfacing with robots and other plant‑floor devices
• Develop high‑quality software applications using sound, repeatable, industry‑standard methodologies
• Demonstrate proficiency across multiple programming languages, tools, and technologies
• Perform performance tuning, profiling, and usability assessment/improvement
• Identify and remediate software issues related to code quality, security, patterns/frameworks, and usability
• Debug, maintain, and enhance live software systems used in manufacturing plant‑floor applications
• Collaborate with cross‑functional partners across the organization (manufacturing engineering, controls, OT/IT, and data teams)
• Mentor junior software developers and review code to uphold team standards and best practices

Work Schedule & On‑Call Expectations

• Participate in an on‑call rotation to support critical operations
• Support urgent production issues outside standard business hours when needed

Your Skills & Abilities (Required Qualifications)

• Minimum 10 years of professional software development experience
• Minimum 3 years of experience developing applications for robot interactions
• Excellent technical knowledge of C++, Java and Python
• Demonstrated inclination toward artificial intelligence and machine learning, with the ability to apply emerging AI/ML technologies to solve complex problems and drive innovation.
• Strong experience and knowledge of Microsoft Azure and Azure resources
• Solid understanding of software development best practices, including code reviews,  CI/CD , testing, and documentation
• Experience working in an agile/scrum environment
• ROS application design and development experience
• Strong knowledge and understanding of multiple programming languages and code reuse strategies
• Proven track record of maintaining and debugging live production software systems

What Will Give You a Competitive Edge (Preferred Qualifications)

• Previous experience in manufacturing and robotics
• Master’s degree in computer science or a related field
• Experience with cloud‑based distributed systems
• Experience supporting mission‑critical or real‑time applications where uptime and performance are essential

#LI-CK1

Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, tn, stem opt, etc.) Now or in the future.

About the Team

Our Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, algorithmic and ML-assisted map reconstruction pipelines powered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale.

The Role

We are looking for a Senior Software Engineer to design and build the mapping algorithms and geospatial data systems behind automated map reconstruction and maintenance within our Mapping Engineering team.

In this role, you will develop the algorithms and data models that reconstruct, conflate, validate, and maintain map primitives — lanes, lane connectivity, road network graphs, boundaries, traffic controls, and signs — from large-scale multi-modal sensor data. You will own the geometric and topological correctness of the map itself: how features are represented, how disparate sources are merged, and how errors are detected before they reach the vehicle.

This is a hands-on individual contributor role with strong ownership. You will drive technical problems end to end, partner closely with Perception, Localization, and Simulation, and apply machine learning where it measurably improves accuracy, coverage, or automation rate.

What You'll Do (Responsibilities)

• Design and implement mapping algorithms for map reconstruction and maintenance — lane and boundary extraction, road network graph construction, map conflation and matching, geometry simplification, and topology validation.
• Build and evolve geospatial data models for lane-level connectivity at intersections, road network graphs, and associated map attributes and restrictions.
• Develop large-scale distributed geospatial pipelines that process sensor-derived and third-party road data into production map releases on a recurring cadence.
• Apply machine learning and computer vision models — detection, segmentation, 3D reconstruction, BEV representations — to automate feature extraction and map change detection, and integrate them into production pipelines.
• Build automated quality, validation, and regression systems that catch geometric, topological, and semantic map defects before release, with clear accuracy metrics.
• Collaborate cross-functionally with Perception, Localization, Simulation, and Platform teams on interfaces, data contracts, and integration points.
• Diagnose and resolve system-level issues spanning geospatial data pipelines, algorithms, models, and production workflows.
• Contribute to design reviews, engineering best practices, and mentorship of engineers on the team.

Minimum Qualifications (Must-Have)

• 3+ years of software engineering experience building production systems, with a substantial portion focused on mapping, geospatial, or geometric algorithms.
• Strong applied foundation in geospatial and computational geometry concepts — coordinate systems and projections, spatial indexing, geometry operations, map matching, and graph algorithms on road networks.
• Demonstrated experience designing geospatial data models and working with road network or map data structures (lanes, segments, intersections, topology).
• Hands-on experience with machine learning or computer vision workflow in production — dataset curation, model training or fine-tuning, evaluation, and deployment.
• Experience building large-scale distributed data pipelines for geospatial or sensor data.
• Proficiency in Python and C++.
• BS or MS in Computer Science, GIS, Electrical Engineering, Robotics, or a related technical field, or equivalent industry experience.
• Ability to own ambiguous, well-scoped technical problems end to end and drive them to production.

Preferred Qualifications (nice to have)

• Experience with HD maps, localization, perception, or robotics systems, particularly in autonomous driving or mobile robotics.
• Hands-on experience with 3D geometry, multi-view geometry, point cloud processing, or SLAM.
• Familiarity with AV sensor data (camera, lidar, radar) and real-world data challenges such as noise, drift, and long-tail scenarios.
• Experience with map conflation, change detection, or automated map QA at national or global scale.
• Experience with geospatial tooling and formats (PostGIS, GeoPandas, GDAL/OGR, S2/H3, OSM, GeoJSON).
• Experience deploying ML models into production pipelines with monitoring, validation, and iteration loops.
• Experience mentoring engineers or acting as a technical lead on a project.
• 3+ years of software engineering experience building production systems, with a substantial portion focused on mapping, geospatial, or geometric algorithms.

Compensation  : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. 

• The salary range for this role is $170,600.00 to $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:   

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 

Preferred Experience Includes:

• Experience with planned maintenance systems and predictive technologies
• Experience with industrial robotics, automation, and conveyance systems

Primary Responsibilities:

• Follow established safety procedures according to OSHA standards and company procedures
• Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves
• Layout, assemble, fabricate, maintain, and repair piping systems
• Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings
• Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation
• Operate mobile equipment (e.g. forklifts, vertical lifts, cranes)
• Determine loading requirements to rig equipment and material for lifting
• Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes
• Fabricate punches, tools, steel rule tools and t-sets to exact specifications
• Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models
• Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators

Interested individuals must meet the following minimum qualifications:

• U.S. Department of Labor Completion of Apprenticeship Certificate in Mechanical trade (millwright, pipefitter, toolmaker, machine repair) or six (6) years of documented experience in a Mechanical trade
• Must be able to satisfactorily complete the General Motors hiring process requirements which include   comprehensive assessments, hair drug testing, and a background check
• At least 18 years of age
• Eligible to work in the United States
• Must be willing to work flexible shift hours and day, afternoon, or night shifts as well as overtime hours daily, weekend and holidays on those shifts with little notice
• This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($38.55-$45.97) or Journeyperson rate of $45.89 Certificates/credentials and scoring in interview will determine your status and pay.
• GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.  DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.).
• If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.

General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified.

Relocation and travel expenses will be the responsibility of the applicant.

Physical Requirements

• Quick response to safety instructions, alarms, and signals are a must
• Ability to work and stand for extended periods
• Comfortably wear personal protective equipment
• Navigate a busy environment
• Bend, twist, kneel, crouch, and reach
• May need to lift or carry materials weighing up to 50 lbs. depending on department
• Occasional sitting during certain tasks
• Drive mobile equipment when needed

Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.

About the Team

The Evaluation Foundations team, part of Embodied AI's Scaling Foundations, solves critical evaluation challenges for autonomous vehicle development. We engineer high-performance tools that identify top-performing models and partner with data-intensive ML teams to drive rapid innovation.

Why Join Us?

Develop introspection and evaluation tools capable of processing billions of examples to extract maximum value from our large-scale datasets.

Join a high-impact team of engineers and machine learning scientists leveraging advanced AI to drive L2, L3, and L4 autonomous vehicle innovation.

Directly influence the safety, reliability, and scalability of next-generation autonomous systems.

About the Role

As a Senior Engineer in the Embodied AI Scaling Foundations organization, you will be a key technical contributor on the team that measures and visualizes AV model performance. You will work across the stack to design, implement, and iterate on evaluation and introspection tools used by Embodied AI and adjacent GM AV teams In this role you will:

• Build and improve high-quality evaluation signal and introspection tools that help shorten the experimental path towards the best model.

• Develop and maintain visualization and metrics presentation within our model evaluation loop.

• Help teams introspect model behavior and reach actionable next steps with fewer manual steps.

• Participate in design and code reviews and work with Data, Infra, and validation teams to connect offline evaluation with real-world behavior.

You will collaborate closely with modeling and data scaling teams working on our Compound AI driving models to design and implement evaluation workflows at scale with model-based metrics, end-to-end simulation, and tooling that connects evaluation signals back to data, training, and launch decisions.

Your work contributes to a cohesive evaluation flywheel: better signal → better data and training decisions → better models → better signal.

Your Skills & Abilities (Required Qualifications)

• 3+ years of relevant industry experience

• Familiarity and experience with at least some of the following key technologies:

• Backend: Python, node.js, high-throughput data streaming.

• Frontend: React/TypeScript, WebGL/WebGPU (for 3D sensor visualization), Streamlit, Jupyter notebooks.

• Data/Infra: Spark for stream processing, BigQuery, Kubernetes.

• Strong communication skills and ability to collaborate effectively across engineering partners.

• Bachelor's degree in Computer Science or related field or equivalent experience

What Will Give You A Competitive Edge (Preferred Qualifications) 

• Previous experience in Robotics or Autonomous Driving

• 5+ years of relevant industry experience

• Master's or PhD degree in Computer Science or related field or equivalent experience

• Experience shipping production software and iterating quickly in a "startup within an enterprise" environment.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.  

·   The salary range for this role: is $144,700 to $261,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 

·  Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. 

·  Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

#GM-AV-1

The Role: The Occupational Health Registered Nurse – PRN/per diem is responsible for providing emergency care, first aid and episodic treatment of occupational injuries and illnesses within standing orders. This position is meant to be ad hoc in nature with shifts to be scheduled in advance based on need and availability.

This position earns $44 an hour. This rate is non-negotiable.

What You'll Do:

• Administers professional nursing care to sick and/or injured employees
• Performs and evaluates various clinical and diagnostic tests
• Assists plant physician in minor surgical procedures
• Interviews and documents medical history of employees
• Works effectively with the Health Services team and other departments
• Maintains appropriate medical records to ensure quality and accuracy
• Performs and documents physical exams
• Adheres to common practices and procedures throughout the department
• Maintains equipment and supplies
• Assists with the promotion of plant wellness programs
• Works with health services customers in a knowledgeable and professional manner

Your Skills & Abilities (Required Qualifications):

• Associate Degree in Nursing
• Valid state nursing license
• 2 years of prior nursing experience required
• Proficient with electronic medical records and basic computer programs/software
• Flexibility for shift coverage, specifically 2nd shift and weekends

What Can Give You a Competitive Edge (Preferred Qualifications):

• Bachelor’s Degree in Nursing
• ER, Urgent Care, Critical Care, Med/Surg or Occupational Health experience preferred
• Certified in Healthcare Provider CPR/AED
• Certification as Occupational Health Nursing (COHN) or Occupational Health Nursing Specialist (COHN-S) preferred

Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

This job is not eligible for relocation benefits.  Any relocation costs would be the responsibility of the selected candidate.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role

The Chiller Technician reports to the Group Leader of the Engineering Maintenance and Technical Support (EMT) support organization. The EMT team is primarily responsible for specifying, sourcing, engineering, integrating, safely commissioning and developing a robust maintenance model for test equipment within the lab. This role directly affects the quality, durability and performance of vehicles and related products developed by General Motors.

This job is based in General Motors’ Milford Proving Grounds Energy and Emissions Laboratories. The lab and results it produces are used by GM’s growing team of engineers in support of the vision of a world with Zero Crashes, Zero Emissions and Zero Congestion.

The Chiller Technician role is a good fit for a qualified individual who is interested in state-of-the-art technologies and testing methods, system-level integration, and related equipment in a laboratory setting.

What You'll Do

• Large tonnage chiller operation, in depth diagnostics, troubleshooting and maintenance including Universal Refrigerant Handlers License

  • Low pressure/ Low temperature systems

  • DX, flooded and absorption systems

  • Reciprocating, Screw, Scroll and Centrifugal compressor operation

  • Air- and water-cooled condensing systems

• Strong in reading wiring schematics, electrical troubleshooting complex circuits and systems that may have redundant feeds or mixed voltages up to 480 volts

• Be able to track, troubleshoot and diagnose building electrical distribution

• Competent in use of multi-meter, megger and signal generator operation

• Understand shut trip operation, gas detection system integration and be able to troubleshoot multi feed systems

• Solar Array panel diagnostics

• UPS System diagnostics

• High Voltage capable up to but not limited to 4160 volts

• Complete understanding in theory and operation of mechanical pump circuits with bypass control and multiple load sources. Be competent in reading one line drawings of mechanical systems

• Have experience with pneumatic control or actuated systems

• Possess solid background in preventative maintenance on many different types and styles of equipment including building and process

• Understand wind tunnel design, operation and troubleshooting

• Complete understanding of steam used in heating, humidity control and building systems including steam generation.

• Be able to troubleshoot traps, condensate systems, steam to product heat exchangers and other systems dependent on steam operation

• Have a solid understanding of chemistry and PH control in product systems used in the facility

• Be able to understand and troubleshoot Variable Frequency Drive operation, control and adjustment

• Experienced in rigging equipment and unstable loads

• Operate forklift, powered man lifts and other powered equipment commonly used in facility service

• Able to use dial indicator and laser guided alignment tools to precise measurements

• Be familiar with vibration data collection, ultrasonic testing and thermal imaging to be used in predictive maintenance program

• Heavy lifting as required

• Able to work at heights and in various temperatures as required

• Have good organizational skills, be a solid communicator who is timeline motivated with a safety-based mindset

• Serve as a contact to internal and external stakeholders for Engineering Maintenance and Technical support related activities, including day-to-day operations and future planning initiatives

• Monitor ongoing tasks, providing regular status reports to stakeholders and leadership while proactively identifying and escalating roadblocks when appropriate

• Act as a technical resource to internal and supplier teams in all aspects of Engineering Maintenance and Technical Support

• Ability to create, launch, and execute a preventative equipment maintenance system and related plans for key facility infrastructure supporting testing activities

Your Skills & Abilities (Required Qualifications)

• 5+ years of related experience in Large Tonnage Chiller service role

• Demonstrated knowledge and experience with Maximo as used for Preventive maintenance, planning and execution

• Demonstrated ability to work with a high level of autonomy in a complex environment, managing multiple maintenance events, by establishing priorities and executing with minimal supervision

• Experience with equipment used in Emissions Development and Certification testing (Building and Process)

• Experience utilizing building management systems for diagnosis and troubleshooting overall operation

• Experience working with equipment suppliers and installation contractors

• Demonstrated ability to work effectively within a multi-disciplinary team, where issues are complex in nature

• Ability to read and interpret P&ID/One line/ Electrical and Control diagrams for use in diagnosis and troubleshooting of hardware

What Will Give You a Competitive Edge (Preferred Qualifications)

• 10+ years of related experience in Chiller service role

• Understand wind tunnel design, operation, and troubleshooting

• Understanding of theory, operation, and application of mechanical pump circuits, steam, humidity control, Reverse Osmosis and CAP DI systems used to support process operation

• Vibration data collection, ultrasonic testing, and thermal imaging exposure to be used in predictive maintenance programs

• Demonstrated knowledge and experience with Maximo as used for Preventive maintenance, planning and execution

• Experience with equipment maintenance processes in an industrial setting

• Experience working in an ISO 17025 or ISO 9001 accredited environment

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

The Company:  

General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 750,000 Super Cruise-equipped vehicles on the road and over 1 billion hands-free miles driven, GM is demonstrating how automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at an unprecedented scale. Join us to help deliver the next generation of safe and delightful autonomous vehicle experiences. 

The Team: 

Protocol Operations & Trust (POT) is part of Scaled Engineering Operations (SEO) within GM’s AV Simulation organization. We build and operate workflows, automation, tooling, and data products that make simulation testing scalable, reliable, and trusted. 

We own the simulation-protocol lifecycle: from definition and tier correlation through test creation, quality validation, monitoring, maintenance, and release safeguards. By working across simulation, evaluation, validation, autonomy development, data, and infrastructure teams, we turn complex testing workflows into clear, reproducible, decision-ready products that help engineering teams develop and validate autonomous vehicles with greater speed and confidence. 

The Role: 

We are looking for a hands-on Software Engineer to turn complex simulation-testing challenges into production-ready software. Working closely with operations and engineering teams, you will build across backend services, data pipelines, production infrastructure, and evaluation feedback loops to move our testing from manual to automated. That means automating the workflows people run by hand today, replacing hand-collected metrics with a pipeline that collects, analyzes, and acts on them, and connecting each team's standalone tools into a single streaming system that makes test creation and maintenance scale. The result is faster test creation and higher-quality test protocols that every downstream team can build with confidence. 

What You’ll Do: 

• Own the delivery of the simulation test suites that validate autonomous vehicle software, building on partner teams' test creation tools to produce and maintain tests in bulk, and building the orchestration and pipelines that connect those systems into an end-to-end workflow from incoming requests to running tests. 

• Automate and standardize test creation and maintenance, so coverage grows without growing manual effort and integrate partner teams' evaluation systems as inputs that drive how tests are built, triaged, and retired. 

• Partner with Autonomy, Systems, Safety, and customer teams to turn their testing needs into the tooling, interfaces, and automation that can deliver them seamlessly. 

• Uphold high standards for code quality and software architecture through code reviews and technical leadership, mentoring other engineers on software engineering and simulation testing best practices. 

• Leverage AI-assisted development tools and analytics platforms to enhance productivity, improve code quality, and drive innovation in simulation testing.  

• Take ownership of ambiguous problem spaces, define practical paths forward, and move quickly from prototype to production 

• Operate with urgency and a strong bias toward execution velocity while maintaining a high bar for engineering quality 

Your Skills and Abilities:

• BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience. 

• 5+ years of experience designing, building, and operating production software, backend services, data platforms, or infrastructure systems. 

• Strong Python development skills, including production-quality coding, unit testing, code review, debugging, and reliability practices. 

• Experience building scalable backend systems, APIs, microservices, workflow orchestration, or internal engineering platforms. 

• Experience with cloud-based production systems, including deployment, observability, performance, and operational reliability. 

• Experience designing or operating data pipelines and data-processing systems using SQL, NoSQL and other tools for large-scale operational, telemetry, or time-series data. 

• Experience building automated tests, validation, quality checks, CI/CD, or release workflows. 

• Ability to lead high-level technical design doc and drive execution across multiple teams. 

• Strong communication skills and the ability to turn ambiguous technical problems into practical, maintainable solutions. 

• Demonstrated adaptability, ownership, and ability to operate effectively in evolving technical environments. 

What Will Give You a Competitive Edge:   

• Experience with autonomous vehicles, robotics, simulation, evaluation systems, or other complex software platforms. 

• Experience building automated test-generation, test-execution, or workflow-orchestration systems. 

• Experience with defining human-in-the-loop/automation quality processes or release-management systems where reproducibility and traceability are critical. 

• Experience developing data-processing, query, analysis, anomaly detection, or issue-triage systems that help identify and prioritize system problems. 

• Experience with observability, time-series analysis, performance monitoring, dashboards, or operational analytics. 

• Experience working on safety-critical, mission-critical, or highly reliable products. 

• Familiarity with simulation validation, test-quality metrics, human-in-the-loop evaluation, or feedback-driven quality improvement. 

• Experience with cloud-native deployment, infrastructure, code, containerization, or distributed systems. 

• Demonstrated ability to adapt quickly in evolving technical environments and take ownership of ambiguous problem spaces. 

Location:

• This role is categorized as hybrid. This means the successful candidate is expected to report to Sunnyvale OR Bellevue three times per week, at minimum.

Compensation:

• The salary range for this role is $153,200 and $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 

Yes - This posting is for an existing vacancy within the organization and is open to new applications. (Backfill)

AI Disclosure

As part of the application process, Artificial Intelligence will be used in the hiring process for this role

Onsite - This role is categorized as onsite. This means the successful candidate is expected to report to St. Catharines Propulsion Plant on a full-time basis.

Job Overview

General Motors St. Catharines Propulsion Plan is looking for an engineer to join our SW (Sustainable Workplace) Team to deliver facility and plant engineering support and projects from the very small to the very large. You will be a dynamic, committed, results driven professional who work well in a Team environment.

Responsibilities

• You will be responsible for daily interface and coordination of all facilities/plant engineering and project related activities for the SW/PE Team to ensure high quality and timely delivery within a 2,300,000 SF 158Ac site.
• Maintain all regulatory and corporate safety requirements ie OHSA, Air Quality, WAH, TSSA, CWB, etc.
• Work with outside agencies to ensure GMCC meets requirement. This could be at the Local, Provincial or Federal Level - Drives successful planning and execution of future projects through GMC NPP process.
• Coordinated Local PS (Performance Standard) committees ie PS3- Falls Hazard Control (WAH), PS16 – Facilities Safety Management, PS17 Fire and Explosion Control. PS13-TS 15 Indoor Air Quality, PS13-TS 16 Process Ventilation Systems.
• 4000 Account Champion – coordinate energy meeting, savings and implement.
• project management – developing project management requirements, plans, cost estimates, tendering process, award and execution. This will be in an extremely complex manufacturing environment to time sensitive schedules.
• resolve conflicts between OBC and Corporate standards.
• Responsible for supporting the workspace transformation projects by actively engaging with the Space Planning team in the change management process. Ensuring issue and resolution of daily tenant needs and longer term projects by pulling in the required resources such as Engineering, Resource Management, Communications, Real Estate, Food and Administration Services.
• Responsible to ensure the Service Provider is meeting our GM Global Safety standards (SCM – Safety Contract Management), including: Speak up for Safety, Global Call to Action, Safety Observation Tours, employee safety concerns, incident investigation, safety module compliance, and sentinel events.
• Passionately communicate the benefit of the operations teams throughout the value streams in manufacturing and non-manufacturing Drive attainment of daily facility operational goals on the campus (enabling consistent facility management, maintenance, energy supply, cleanliness, environmental compliance and material handling initiatives).

Required qualifications

• Bachelor’s degree in Mechanical or Electrical,  or a closely related engineering discipline; equivalent technical education and relevant experience may be considered.
• Eight or more years of experience in plant facilities, industrial utilities, building systems, maintenance engineering, construction engineering, or a related manufacturing environment.
• Demonstrated experience managing facility projects involving contractors, consultants, suppliers, budgets, schedules, and commissioning.
• Working knowledge of industrial electrical, mechanical, HVAC, utility, building, or civil systems sufficient to troubleshoot issues and direct technical work.
• Ability to read and interpret engineering drawings, specifications, equipment documentation, bills of material, and construction deliverables.
• Working knowledge of industrial safety practices, including hazard assessment, lockout/tagout, contractor safety, confined-space controls, and safe work permitting.

Compensation

The salary range for this role is $97,800.00 to $146,600.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Benefits:

The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:

• Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
• Healthcare, dental and vision benefits including health care spending account and wellness incentive.
• Life insurance plans to cover you and your family.
• Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
• GM Vehicle Purchase Plan for you and your family.

THIS JOB IS NOT ELIGIBLE FOR RELOCATIONS BENEFITS. ANY RELOCATION COSTS WOULD BE THE RESPONSIBILITY OF THE SELECTED CANDIDATE.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.

This posting is not for an existing vacancy within the organization and is open to new applications.

AI Disclosure:

As part of the application process, Artificial Intelligence will be used in the hiring process for this role

Work Arrangement :

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum. 

The Role:

General Motors is seeking a highly skilled and experienced professional to join our team as the Staff Engineer of Software Engineering, Embedded Platform. As a Continuous Integration Developer (Architect Level), you will define the architecture, standards, and strategy for how GM builds, tests, and deploys virtualized vehicle software. You’ll leverage your strengths in CI/CD, embedded systems, and automation while expanding into cloud orchestration, IaC, progressive delivery, and data driven simulation. This role is ideal for someone ready to broaden their technical impact and shape the future of GM’s virtual development platform. As a global leader in the automotive industry, General Motors is committed to delivering high-quality vehicles that exceed customer expectations. This position will play a critical role in ensuring that our products are on the leading edge of innovation while meeting the highest standards of quality, reliability, and safety, with a specific focus on the embedded real time software for our in-vehicle mechatronic systems.

Specific job responsibilities include: 

·        Be a critical leader of software engineering productivity and effectiveness 

·        Identify opportunities, strategies, process improvements, and lead the change 

·        Be hands-on by leading high impact efforts 

·        Be a strong communicator, coach, and mentor 

·        Analyze unusual and difficult problems effectively 

·        Ability to connect multiple initiatives together to deliver higher value 

·        Visualize required innovation, learning and simplification in this space and transition the team to execute what is required to achieve 

·        Maintain command skills and empathy at the same time 

·        Architect enterprise‑scale CI/CD systems for embedded, simulation, and cloud workloads.

·        Define branching, release, and quality‑gate standards across multiple engineering domains.

·        Design GitOps‑based delivery for multi‑cluster Kubernetes environments.

·        Lead progressive delivery strategy including automated rollback and analysis.

·        Establish IaC architecture using Terraform modules and multi‑environment patterns.

·        Integrate security and compliance into pipelines and artifact flows.

·        Define observability standards for pipelines, simulation workloads, and runtime systems.

·        Mentor DevOps and simulation developers across the organization.

 
Qualifications/Requirements 

·        Bachelor's degree in software engineering or equivalent experience

·        15 years of experience in software development 

·        Deep understanding of software architecture for real time systems 

·        Experience shipping high quality safety critical products 

·        Exceptional problem-solving and analytical abilities, with a keen attention to detail 

·        Demonstrated ability to manage multiple projects and priorities in a fast-paced environment. 

·        Demonstrated ability to work in an action-oriented decision-making environment 

·        Deep Kubernetes knowledge including cluster operations.

·        Strong Terraform/IaC experience with production‑grade module design.

·        Experience with embedded or simulation workflows (vECUs, SIL, FMU, SSP).

·        Cloud architecture experience across AWS, Azure, or GCP.


Compensation: 

The salary range for this role is $186,000 to $236,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.


GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.

Benefits Overview

The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:

• Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
• Healthcare, dental, and vision benefits;
• Life insurance plans to cover you and your family;
• Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
• GM Vehicle Purchase Plan for you and your family

The Design Manager leads design and engineering activities for construction projects across General Motors manufacturing and non-manufacturing sites. As a preconstruction leader, this role converts incomplete or conflicting business, process, site and operational inputs into an approved, documented and executable technical scope. The Design Manager coordinates internal subject-matter experts, architecture and engineering partners, design-builders and support functions from strategic planning and concept validation through coordinated design development, procurement, construction execution and occupancy. This role delivers safe, high-quality, constructible and bidding-ready solutions aligned with approved scope, schedule, cost, GM standards and stakeholder needs.

What You’ll Do

• Lead the preconstruction technical path from strategic intent and early planning through an approved, fully coordinated construction document package and formal handoff to construction.
• Organize internal subject-matter experts and project partners to develop Statements of Requirements, Requests for Proposals, design criteria, execution plans, scopes of service and project-specific engagement plans.
• Establish and maintain the design basis, scope narrative, interface matrix, design deliverable matrix, assumptions and decision log as traceable controls for cost, schedule, procurement and design decisions.
• Lead design governance and stage-gate reviews; prepare decision-ready materials for senior leadership and steering committees; and track actions, decisions, approvals, risks, issues and interfaces to closure.
• Direct code, regulatory, permitting and Authority Having Jurisdiction coordination, including applicable site, zoning, environmental, fire, utility, stormwater and other jurisdictional requirements.
• Coordinate AE firms, design consultants and design-builders through design schedules, BIM/VDC expectations, submittals, package releases, QA/QC and integrated reviews for scope alignment, code compliance, constructability, operations, safety, sustainability, commissioning and bidding/IFC readiness.
• Lead the design phase for assigned projects, manage changing priorities and concurrent work, communicate impacts and recommendations, and improve design-management tools, standards, lessons learned and team capability.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in engineering, architecture or a related field.
• 4+ years of experience in architecture, engineering or construction supporting major commercial, industrial or comparable capital projects.
• Experience coordinating facilities design and construction activities and technically leading complex, multi-discipline projects from early planning and front-end scope development through coordinated construction documents and construction handoff.
• Experience reviewing engineering drawings, specifications, design calculations, construction documents and applicable building codes, and leading code analysis, regulatory strategy, permit planning and AHJ coordination.
• Knowledge of design management, construction delivery, estimating, scheduling, procurement and project controls principles as applied to capital projects.
• Experience organizing and influencing internal SMEs, AE consultants, design-builders, contractors, operations representatives and other stakeholders; resolving technical conflict and building commitment without relying solely on positional authority.
• Experience directing design reviews, interdisciplinary coordination, QA/QC, constructability and bidding-readiness reviews, including readiness for permitting, bidding and IFC release.
• Working knowledge of BIM/VDC coordination, common data environments, design-review workflows and document-control practices for complex technical deliverables.
• Strong analytical, organizational, written and verbal communication skills, including the ability to synthesize complex information into clear recommendations and exercise sound judgment with incomplete information.
• Strong computer skills, particularly in Google Docs, Excel, PowerPoint, Word, Microsoft Project and design-review or cost-estimating software.
• Demonstrated commitment to safety, quality and compliance with GM policies and procedures, plus willingness and ability to travel within North America; passport required.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Experience with automotive or industrial building projects, including original equipment manufacturer, Tier 1 or similar environments.
• Working knowledge of GM organizational structure, construction processes and governance for capital planning, design and execution.
• Basic knowledge of automotive manufacturing and assembly processes, including assembly, stamping, powertrain, casting and paint operations.
• Experience with front-end planning and budgeting processes for capital projects and with design-build or design-bid-build delivery strategies.
• Master’s degree in architecture, engineering, construction management or business, such as an MBA.
• Experience initiating and organizing multi-discipline project teams spanning engineering, finance, purchasing, safety, contractors and external partners.

This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum.

Role Overview

We are looking to fill two positions within the Digital Business Transformation Supply Chain team as we embark on transforming our legacy materials management and procurement processes and systems. This role will bridge business and IT teams in support of the SAP S/4HANA ecosystem deployment within Global Purchasing & Supply Chain (GPSC).

As the Senior Manager of Digital Business Transformation, you will help GPSC identify, evaluate, and implement new ideas, applications, and processes that improve organizational performance. This includes significant cross-functional engagement with GPSC functional areas and IT.  The focus of this role is creating and executing Master Data governance for this project.

What You’ll Do

• Lead cross-functional innovation projects that enhance capabilities and efficiencies across GPSC related to project master data.

• Collaborate with business and IT partners on innovation initiatives that align with GPSC’s business strategy and priorities.

• Apply critical thinking and creative problem-solving to explore alternative solutions and recommend the most effective approaches.

• Foster a culture of innovation by continuously learning new methodologies, tools, and best practices and sharing them across the organization.

SAP-Enabled Process & Integration

• Act as a business-focused integrator across legacy GM applications and SAP S/4HANA for supply chain/materials management or purchasing value streams

• Ensure processes remain fit-to-standard and align to business objectives through workshops, simulations, and process walk-throughs.

• Partner with business owners and IT to define, document, and prioritize business requirements for SAP-enabled solutions and process changes.

• Develop KPIs and metrics that monitor roadmap progress, process adoption, data quality, and business outcomes, and communicate insights through concise, informative materials for leadership.

• Drive change management and training by supporting the development of training content, job aids, and change impact assessments; enable end‑user readiness at plants, regional offices and global GPSC organizations.

Your Skills & Abilities (Required Qualifications)

• 5+ years relevant experience in supply chain, logistics, purchasing, or manufacturing within a complex environment (any internship or co-op experience will not be considered).

• Bachelor’s Degree in business, supply chain, technical, or a related discipline.

• Experience interacting with business partners, managing expectations, and influencing in a global organization.

• Hands-on data governance and part extension experience with meaningful exposure to SAP (ECC or S/4HANA) in at least one area such as MM, PP/MRP, SD/logistics execution, or supplier integration/EDI/ASN processes.

• Strong strategic agility and analytical ability; able to connect ideas end-to-end and solve unusual, complex problems with data.

• Proven project management skills: planning, tracking deliverables, managing cross-functional stakeholders, and executing to timelines in a fast-paced environment.

• Excellent oral and written communication; able to facilitate meetings/workshops and communicate complex concepts in simple, visual terms (data storytelling).

• High proficiency with MS Word, Excel, and PowerPoint.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Master’s degree in Supply Chain Management, Business, or related field.

• Knowledge of GPSC business processes, systems, and GM applications relevant to purchasing and supply chain.

• Direct experience with master data governance for SAP S/4HANA deployments, global template or fit-to-standard ERP programs, and SAP Activate-based projects.

• Exposure to AI/ML-enabled analytics or optimization in supply chain or purchasing, particularly adjacent to SAP platforms.

• Experience supporting major process transformation initiatives in purchasing, manufacturing or supply chain (including plant launch, ERP cutover etc.)

Hybrid:  

This means the successful candidate is expected to report to the Warren Technical Center, Warren MI or Milford Proving Grounds, Milford, MI three times per week, at minimum, or other frequency dictated by the business.

Our Mission:

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role:

The Software & Electronics Platform team is building the execution foundation for GM’s software-defined electric vehicles. We are looking for a Program Engineering Manager (PEM) to lead, define, and organize the physical assets that make persistent HIL, night regression, Co-Sim, CVF, and related validation environments effective for SDV2 and future platform architectures.

This role is accountable for making complex work executable. You will establish the asset strategy, portfolio, standards, ownership model, configuration baseline, capacity plan, and lifecycle approach required to support platform and vehicle-program commitments. You will work directly with the platform PEMs and APEMs to connect bench and lab readiness to integrated execution plans, milestone confidence, issue resolution, launch readiness, and recovery actions.

You will also work directly for and with the Chief Engineer, translating platform strategy into investment priorities, physical infrastructure decisions, cross-functional operating rhythms, and an enterprise-ready model for onboarding future programs. The successful candidate will be equally comfortable shaping strategy with senior leaders, solving complex technical and infrastructure problems, driving disciplined execution across engineering organizations, and turning a collection of benches and labs into a coherent persistent capability.

What You'll Do:

Define the persistent HIL and physical-validation strategy

• Establish the current-state and future-state strategy for persistent HIL benches, night-regression environments, Co-Sim, CVF, and related physical validation assets.
• Define and align asset purpose, capability, ownership, location, users, capacity, availability, lifecycle, upgrade path, and retirement criteria with the physical asset build team and engineering leaders responsible for testing
• Build a prioritized physical-asset roadmap aligned to SDV2, vehicle-program timing, build events, launch needs, and future program onboarding.
• Identify common-platform capabilities, program-specific needs, capacity gaps, duplicated infrastructure, and obsolescence risks.

Partner with the PEM to drive integrated execution

• Work directly with the PEMs to integrate asset readiness into the platform execution plan.
• Translate physical infrastructure needs into accountable owners, dates, dependencies, decision points, readiness criteria, and recovery actions.
• Provide a single, decision-ready view of bench and lab readiness, open issues, configuration risks, capacity constraints, and milestone confidence.
• Drive asset-related issues across organizational and technical boundaries from ambiguity to ownership, decision, implementation, and verified closure.
• Represent asset readiness in PAPIR, Dev/Val, quality-readiness reviews, launch reviews, and other forums as appropriate.

Establish the SDV2 asset portfolio and onboarding model

• Define the persistent HIL and regression baseline for BT1, N1, T1, C1, and future programs.
• Align physical assets to platform features, ECUs, electrical and logical topology, interfaces, diagnostics, calibration, software releases, test assets, and vehicle-integration activities.
• Create a repeatable onboarding model so future programs can use common enterprise infrastructure and standards.
• Ensure asset readiness is visible through relevant GVDP, software-quality, vehicle-integration, and launch milestones.

Govern configuration, Bench BOM, and release integrity

• Establish and maintain the Bench BOM for persistent HIL and regression environments.
• Coordinate tech packages (eBoM), part numbers, required attributes, I/O configurations, software-channel data, virtual models, variant rules, calibration content, harnesses, ECUs, instrumentation, and test-support hardware.
• Align deployed bench configurations to the version-controlled eBOM and Teamcenter release model.
• Ensure correct hardware, software, calibration, and configuration versions are built into Co-Sim, HIL, CVF, and regression environments.
• Coordinate DSI and VPI eBOM releases, Co-Sim setup, configuration/calibration generation, and formal release to HIL and CVF benches.

Build a persistent regression capability

• Establish the physical and operational requirements for night-regression test chambers and persistent regression environments.
• Ensure environments can consume virtual models, I/O configurations, software information, 3D math, TBECs, calibration data, and related test assets.
• Define run cadence, access and reservation rules, maintenance windows, failure response, data capture, and result ownership.
• Partner with software, hardware, validation, and release teams to improve regression throughput, coverage, repeatability, and confidence.

Organize physical infrastructure and lifecycle management

• Define requirements for bench hardware, ECUs, harnesses, power supplies, networks, instrumentation, simulators, compute, storage, environmental controls, safety provisions, and lab space.
• Track asset health, utilization, availability, downtime, blocked work, service response, and cost.
• Make investment and tradeoff recommendations to the Chief Engineer.

Lead cross-functional operating rhythms

• Establish a recurring asset-readiness cadence with the PEM, software release, hardware, systems engineering, PMO, quality, manufacturing, suppliers, and lab owners.
• Create standard work for asset planning, onboarding, readiness assessment, change control, escalation, bench release, and execution-health reporting.
• Communicate a unified position on asset readiness, risks, decisions, investment needs, and recovery plans.
• Convert technical complexity into concise, decision-ready information for senior reviews.

Your Skills & Abilities (Required Qualifications):

• Minimum of 8 years of engineering experience in relevant areas.
• Bachelor's degree in engineering, computer science, electrical engineering, systems engineering, or a related technical discipline, or equivalent experience.
• Demonstrated experience leading complex hardware, software, systems, validation, laboratory, or vehicle-program execution from strategy through delivery.
• Experience with HIL, SIL, Co-Sim, vehicle integration, night regression, test automation, validation infrastructure, or comparable engineering environments.
• Experience defining or managing physical engineering assets, laboratories, test benches, ECUs, harnesses, instrumentation, networks, compute, or related infrastructure.
• Experience managing technical dependencies, configuration baselines, asset readiness, milestone timing, risks, recovery plans, escalations, and executive-level decisions.
• Demonstrated ability to lead through influence across multiple organizations with shared accountability.
• Strong understanding of hardware/software integration and the relationship between physical assets, software releases, calibration, test content, and vehicle readiness.
• Strong written and verbal communication skills, including the ability to make complex technical and infrastructure topics clear and actionable.

What Will Give You A Competitive Edge (Preferred Skills):

• Minimum of 10 years of engineering experience in relevant areas.
• Master's degree in engineering, computer science, electrical engineering, systems engineering, or a related technical discipline, or equivalent experience.
• Experience supporting software-defined vehicles, SDV2, centralized or high-performance compute, vehicle networks, OTA delivery, diagnostics, or vehicle-level integration.
• Experience establishing persistent HIL benches, night-regression chambers, Co-Sim environments, CVF environments, or enterprise validation infrastructure.
• Experience with Teamcenter, Bench BOMs, DSI/VPI release processes, configuration management, calibration, test asset management, or related digital-thread systems.
• Experience working across vehicle software, vehicle electronics, hardware, systems engineering, validation, manufacturing, quality, suppliers, and lab operations.
• Track record of improving execution systems, lab utilization, test throughput, asset availability, configuration integrity, operating rhythms, or organizational clarity.
• Experience building investment cases, capacity plans, lifecycle strategies, spares strategies, or obsolescence plans for engineering infrastructure.

How success will be measured:

• Persistent HIL, regression, Co-Sim, and CVF assets have clear purpose, owners, capability definitions, capacity, availability targets, and credible timing.
• Physical-asset readiness is integrated into the PEM's platform execution plan and the Chief Engineer's strategy and investment decisions.
• Bench BOMs and deployed configurations match approved hardware, software, calibration, eBOM, and test baselines.
• Hardware and software releases reach the correct validation environments through controlled, repeatable pathways.
• Asset gaps, capacity constraints, configuration risks, and obsolescence risks are surfaced early with actionable recovery plans.
• Bench utilization, availability, regression throughput, coverage, repeatability, and recovery performance improve over time.
• SDV2 and future programs onboard to a common physical-asset model without recreating disconnected infrastructure.
• Senior leaders and partner organizations receive a consistent, fact-based view of physical validation readiness, risk, and investment confidence.

Why This Role Matters:

YOU will help turn GM's software-defined vehicle strategy into a persistent physical execution capability. This is a high-impact technical leadership role at the intersection of platform architecture, software delivery, electronics integration, vehicle programs, test infrastructure, and launch readiness.

The person in this role will work directly with the Chief Engineer and PEM to create the physical foundation required to integrate, validate, regress, and launch SDV2 and future vehicle platforms with greater speed, repeatability, and confidence. By organizing the right assets, configurations, ownership, and operating rhythms, you will help GM move from disconnected benches and one-off environments to a scalable enterprise capability.

Reports to: Chief Engineer, Software & Electronics Platform
Primary partners: Program Engineering Manager, Software & Electronics Platform
Leadership scope: Technical leader and physical-asset strategy owner for persistent HIL and validation infrastructure

Company Vehicle:
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Benefits:
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

The Simulation, Evaluation, and Data organization develops the platforms, tools, metrics, and workflows that accelerate GM’s autonomous-driving mission. The VTA team builds the core infrastructure for test organization, test triggering, simulation execution, result analysis, and the data pipelines that connect these workflows.

Our customers include autonomy and robotics engineers who need fast, trustworthy feedback on vehicle behavior; data engineers who build large-scale analysis workflows; and release teams that use evaluation results and performance metrics to make readiness decisions. We partner across Autonomy, Simulation, Systems Engineering, Safety, Data, and other engineering organizations to deliver intuitive, reliable, and scalable developer experiences.

What You’ll Do

• Define and evolve the technical vision, architecture, and multi-year roadmap for Galileo and related simulation-platform capabilities.
• Design and implement highly scalable systems capable of orchestrating and analyzing millions of simulation miles and large volumes of test results.
• Lead cross-functional initiatives that integrate simulation, evaluation, data, and developer tooling into regular engineering and release workflows.
• Build platform capabilities for test creation, test-suite management, execution orchestration, result storage, data processing, visualization, and quantitative analysis.
• Establish durable architectural patterns for distributed systems, service interfaces, data-intensive workflows, and cloud-based infrastructure.
• Identify and resolve bottlenecks in performance, reliability, cost, usability, and operational scalability; use measurable outcomes to guide prioritization.
• Drive engineering excellence through design reviews, code reviews, automated testing, continuous integration, observability, incident learning, and clear operational ownership.
• Make complex technical tradeoffs clear to stakeholders, communicate risks and dependencies, and drive decisions across organizational boundaries.
• Mentor engineers and multiply team effectiveness through technical guidance, reusable patterns, documentation, and constructive feedback.
• Partner with product and engineering leaders to translate customer needs into pragmatic technical strategies and deliverables.
• Help define and embody GM engineering culture and principles, with a focus on customer impact, inclusion, continuous improvement, and accountability.

Your Skills & Abilities

• Bachelor’s degree or higher in Computer Science, Robotics, Engineering, or a related technical field, or equivalent practical experience.
• 7+ years of experience building and operating production software systems, platforms, or infrastructure.
• Proven experience providing cross-team technical leadership, including defining strategies or architectures adopted by multiple teams.
• Strong experience designing and implementing distributed systems, service-oriented or microservice architectures, and data-intensive applications.
• Production programming experience in Python and at least one additional language such as Go, C++, Java, TypeScript, or a similar language.
• Experience with cloud platforms and modern software delivery practices, including CI/CD, automated testing, observability, and operational excellence.
• Experience building developer tools, automation, or platform capabilities that improve engineering productivity and achieve broad internal adoption.
• Strong written and verbal communication skills, including the ability to explain technical decisions, communicate risk, and influence diverse stakeholders.
• Demonstrated ability to work independently through ambiguity, prioritize high-leverage work, and deliver results across organizational boundaries.

What Will Give You a Competitive Edge

• Experience with autonomous vehicles, robotics, simulation, validation, evaluation, or other safety-critical or high-stakes systems.
• Experience designing, running, and interpreting large-scale simulation or field experiments.
• Experience with test frameworks, scenario libraries, metrics systems, release gating, or continuous evaluation pipelines.
• Experience with PostgreSQL or similar relational databases and analytical technologies such as BigQuery, DuckDB, or Amazon Redshift.
• Familiarity with data transformation tools such as dbt, Dataform, or SQLMesh.
• Experience with ROS, Python/C++ interoperability, or modern visualization and dashboarding tools such as Streamlit or Looker.
• Experience optimizing systems under significant latency, throughput, reliability, or cost constraints.
• Experience developing safety-critical software or applying rigorous validation and risk-management practices.
• A track record of creating reusable frameworks, libraries, or platform abstractions that enable other teams to move faster.

Why Join Us

You will work on foundational technology that directly affects how GM develops, validates, and scales autonomous-driving systems. The role offers broad technical scope, meaningful cross-functional influence, and the opportunity to build platforms that turn large-scale simulation and evaluation into faster, safer engineering decisions.

Compensation

The salary range for this role is $185,100 and $284,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Benefits

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 

Company Vehicle

"Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.”  

This job may be eligible for relocation benefits.  

As a Staff Cloud Identity Platform Engineer, you will design, automate, operate, and continuously improve secure, reliable, and scalable identity services for a global enterprise. You will support Microsoft Entra ID, Microsoft Entra External ID, and foundational Azure infrastructure across workforce, application, partner, and external-user experiences. 

This role applies Site Reliability Engineering principles to cloud identity, including service-level objectives, observability, automation, error-budget management, incident response, resilience engineering, capacity planning, and reduction of operational toil. You will help establish identity platforms that are secure by design, measurable, recoverable, and dependable at enterprise scale. 

What you’ll do  

• Design, configure, implement, and operate Microsoft Entra ID capabilities for workforce and application identity. 

• Implement Microsoft Entra External ID capabilities for external users, partners, and application experiences, including registration, authentication, federation, user journeys, and authorization patterns. 

• Integrate applications and services using OAuth 2.0, OpenID Connect, SAML, and other secure identity standards. 

• Configure and support single sign-on, multifactor authentication, Conditional Access, role-based access control, privileged access, identity governance, and access reviews. 

• Develop secure patterns for application onboarding, directory synchronization, service principals, managed identities, workload access, and identity lifecycle processes. 

• Define and manage service-level indicators and objectives for identity platforms, including authentication success rate, availability, latency, federation health, provisioning reliability, and recovery performance. 

• Establish reliability practices such as error budgets, availability targets, dependency mapping, capacity planning, resiliency testing, and measurable operational health reviews. 

• Apply Azure infrastructure fundamentals to identity platform engineering, including subscriptions, resource organization, networking, Key Vault, monitoring, logging, resiliency, backup, disaster recovery, and governance. 

• Build observability using metrics, logs, traces, synthetic transactions, dashboards, alerting, and identity-specific security and reliability signals. 

• Monitor platform health, investigate alerts, troubleshoot authentication and authorization issues, and participate in incident response and on-call activities as applicable. 

• Lead or contribute to incident triage, service restoration, stakeholder communications, root-cause analysis, and blameless post-incident reviews. 

• Identify recurring incidents, manual processes, and operational toil; automate or redesign them to improve reliability and engineer effectiveness. 

• Automate identity and cloud platform activities using PowerShell, Azure CLI, Microsoft Graph, Bicep, Terraform, or comparable technologies. 

• Contribute to infrastructure-as-code, continuous integration and delivery, automated testing, policy-as-code, progressive delivery, change validation, and safe rollback practices. 

• Design and validate high-availability, failover, recovery, and business-continuity patterns for identity services and critical dependencies. 

• Maintain runbooks, playbooks, service documentation, troubleshooting guides, architecture records, and operational readiness checklists. 

• Partner with cybersecurity, infrastructure, application, architecture, privacy, compliance, and product teams to manage technical dependencies and operational risks. 

• Evaluate Microsoft capabilities, third-party solutions, and emerging identity patterns based on security, reliability, usability, scalability, supportability, and cost. 

• Communicate technical concepts clearly and contribute to design reviews, reliability reviews, technical planning, and engineering knowledge-sharing activities. 

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in computer science, information technology, cybersecurity, engineering, or a related field, or equivalent experience. 

• Five or more years of experience in identity and access management, cloud engineering, cybersecurity, infrastructure, software engineering, SRE, or a related technical discipline. 

• Hands-on experience with Microsoft Entra ID, including authentication, federation, single sign-on, multifactor authentication, Conditional Access, role-based access control, privileged access, or identity lifecycle concepts. 

• Experience with Microsoft Entra External ID or a comparable customer, partner, or external-user identity platform. 

• Working knowledge of Azure infrastructure fundamentals, including subscriptions, networking, Key Vault, monitoring, logging, resiliency, and governance. 

• Experience translating security, reliability, and application requirements into identity architecture, configurations, integrations, or engineering solutions. 

• Experience supporting production services, including monitoring, alerting, troubleshooting, incident response, change management, root-cause analysis, and service reliability practices. 

• Understanding of SRE concepts such as SLIs, SLOs, error budgets, incident management, post-incident reviews, automation, toil reduction, and continuous improvement. 

• Strong understanding of identity security principles, least privilege, separation of duties, zero-trust concepts, and secure integration patterns. 

• Experience with scripting, automation, APIs, infrastructure as code, or policy as code. 

• Ability to assess operational risk, prioritize reliability improvements, and make sound technical decisions during incidents. 

• Ability to communicate effectively with technical and non-technical stakeholders. 

What Will Give You A Competitive Edge (Preferred Qualifications)

• Secondary experience with AWS and/or Google Cloud Platform identity, security, infrastructure, or platform services. 

• Ability to apply comparable identity, security, reliability, and operational concepts across Azure, AWS, and Google Cloud Platform environments. 

• Experience with AWS IAM, AWS Organizations, AWS KMS, Amazon Cognito, Google Cloud IAM, Google Cloud Identity, Google Cloud KMS, or comparable services. 

• Experience defining service health metrics, SLOs, error budgets, operational readiness criteria, or reliability scorecards. 

• Experience with identity governance, entitlement management, privileged identity management, access reviews, and joiner-mover-leaver processes. 

• Experience with application modernization, API security, directory synchronization, Microsoft Graph, or identity automation. 

• Experience with customer identity and access management, including registration, progressive profiling, consent, account recovery, and federation. 

• Experience with DevOps, continuous integration and delivery, automated testing, infrastructure as code, policy as code, progressive delivery, or automated rollback. 

• Familiarity with platform observability, security analytics, logging, synthetic monitoring, identity-related threat detection, and service dependency mapping. 

• Experience with resiliency testing, disaster recovery, capacity planning, performance engineering, or recovery-time and recovery-point objectives. 

• Microsoft certifications such as Identity and Access Administrator Associate, Azure Administrator Associate, Cybersecurity Architect Expert, or comparable credentials. 

• Experience designing or operating identity platforms for large, complex, or highly regulated enterprises. 

• Demonstrated initiative, problem-solving, accountability, integrity, sound judgment, and commitment to continuous improvement. 

• Ability to collaborate effectively across engineering, cybersecurity, infrastructure, application, and business teams. 

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

       • The salary range for this role is $160,200-$246,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

       • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

#LI-SB3

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale  

The Role  

The Core OS group is a newly formed team standing up the operating-system foundation GM's software-defined vehicles run on: the virtualization and platform-services layer that lets embedded Linux, Android, and QNX share vehicle compute safely and efficiently. As one of the founding engineers, you'll set technical direction from a blank sheet across hypervisor integration, guest OS enablement, resource partitioning, the boot and secure-boot chain, container runtime, and the health and fault-management services that keep the platform reliable in production. The architecture you choose now becomes the platform every GM vehicle software team builds on, and getting it right means debugging across boundaries most engineers never cross — guest to host, software to silicon, between partitions with different safety requirements. 

What You’ll Do  

• Own critical hypervisor and virtual machine capabilities, including virtual machine definitions, CPU and memory partitioning, device assignment and passthrough, and virtio-based device models. 

• Design and optimize communication between virtual machines using shared memory, message passing, and virtualized input/output for throughput, latency, and deterministic behavior. 

• Enable and maintain guest operating systems across embedded Linux, including Yocto-based distributions, Android, and QNX, with consistent access to platform services, time synchronization, lifecycle control, interfaces, and developer tooling. 

• Implement and optimize the boot and secure-boot chain across partitions, including startup sequencing, boot-time performance, and platform-integrity verification. 

• Build platform services for resource governance, health monitoring, watchdogs, fault detection, fault handling, and recovery, while meeting automotive safety and availability requirements. 

• Develop container-runtime and workload-management capabilities for in-vehicle applications, including isolation, resource limits, lifecycle management, updates, and rollbacks. 

• Profile, optimize, and debug CPU, memory, input/output, and interrupt behavior across the virtualized stack. Lead root-cause analysis using traces, logs, and low-level tools to resolve issues spanning guest operating systems, hypervisors, firmware, and silicon. 

• Improve engineering quality through continuous integration and continuous delivery (CI/CD), bench and hardware-in-the-loop (HIL) automation, validation strategies, Git and GitHub workflows, and code reviews. Mentor engineers and collaborate with silicon enablement, guest operating system, board support package (BSP), functional safety, and cybersecurity teams. 

Your Skills & Abilities (Required Qualifications)  

• Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field; or equivalent practical experience. 

• Ten or more years of professional experience in embedded, systems, or kernel-level software development, including production software in automotive or similarly complex embedded domains. 

• Deep expertise in operating-system-level software on Arm-based system-on-chips (SoCs), with experience in several of the following areas: 

• Hypervisor integration, virtual machine configuration, and device virtualization 

• Real-time operating systems and deterministic scheduling 

• Linux kernel subsystems, kernel configuration, and low-level system behavior 

• Bootloaders, secure boot, and platform startup sequencing 

• Experience delivering commercial embedded systems using Yocto or comparable embedded build systems. 

• Strong experience with system performance, optimization, and complex debugging, including root-cause analysis across hardware, firmware, hypervisors, kernels, and user space. 

• Experience with build systems and development tools, including Git, GitHub, CI/CD pipelines, automated testing, and release-quality engineering for platform software. 

• Strong proficiency in C and C++, plus practical experience with Python and shell scripting for automation, tooling, and debugging. 

• Demonstrated technical leadership through architecture contributions, mentoring, design reviews, code reviews, and cross-team execution. 

• Strong written and verbal communication skills, with the ability to influence technical decisions and explain complex system-level topics clearly. 

What Will Give You a Competitive Edge (Preferred Qualifications)  

• Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field. 

• Hands-on experience with hypervisors such as Gunyah, QNX Hypervisor, Xen, or KVM/Arm, including virtio device model development. 

• Experience with QNX Software Development Platform (SDP), Android Open Source Project (AOSP), Android Automotive, or Yocto as guest environments on virtualized platforms. 

• Experience with automotive functional safety, including ISO 26262, Automotive Safety Integrity Levels (ASIL), freedom from interference, safety islands, or health-monitoring frameworks. 

• Experience with automotive cybersecurity, including ISO/SAE 21434. 

• Experience with container runtimes such as Open Container Initiative (OCI)-compliant runtimes, Podman, or systemd-based isolation in resource-constrained environments. 

• Familiarity with trusted execution environments, secure-boot chains, and key management on embedded platforms. 

• Experience with Rust in systems or safety-relevant contexts. 

• Strong command-line experience in Linux or UNIX environments, including tools such as GDB, perf, ftrace, strace, and hypervisor-level tracing. 

• Contributions to open-source virtualization or operating-system projects. 

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The salary range for this role is $160,200–$330,400 . The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as the geography of the selected candidate.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation and holidays, tuition assistance programs, employee assistance program, GM vehicle discounts, and more.

#LI-KL2

The Role

This 12-week Operations internship will be based in a GM Automotive Parts warehouse and drives the operational efforts of GM’s Customer Care and Aftersales organization.  The position supervises a team of union-represented operations employees, or a departmental function in a warehouse processing center or distribution center.  The Supervisor is responsible for overseeing the department workforce to ensure accurate and timely parts shipments to customers.

With direct guidance from the General Supervisor, you will motivate hourly operations employees and business partners through effective communication, training, coaching, development, recognition, and supervision. You will demonstrate expertise of the processes your team is required to perform and ensure your team members are effectively performing job responsibilities utilizing standardized methods.

The Team

The Customer Care and Aftersales warehouse operations team helps ensure that General Motors parts are processed and shipped accurately and on time. The team works in a fast-paced environment where safety, quality, teamwork, and continuous improvement are central to daily operations.

You will learn from and collaborate with General Supervisors, warehouse operations employees, business partners, union representatives, and other members of the management team. Together, they maintain reliable warehouse processes, support employee development, resolve operational challenges, and improve the experience of customers who depend on General Motors parts.

What You’ll Do

• Provide instructions to direct reports on course of action and serves as a resource for them on standardized work, quality standards and processes within the area, as well as relevant company policies and procedures.

• Support daily warehouse operations under the direction of a General Supervisor.

• Learn how to communicate standardized work, quality expectations, processes, company policies, and procedures.

• Assist with training, coaching, development, recognition, and engagement activities for operations employees.

• Support the assignment of work and monitor progress to help ensure tasks are completed safely, accurately, and on time.

• Help identify and address operational issues, resolve problems, and proactively reduce disruptions.

• Support employee training and rotation activities to maintain operational flexibility and continuity.

• Identify opportunities for improvement through tools such as layered audits and other continuous improvement methods.

• Support performance against safety, people, quality, responsiveness, and cost measures.

• Promote a safe work environment by following and reinforcing workplace safety rules and policies.

• Apply the principles of the General Motors Global Manufacturing System and lean operations.

• Build effective working relationships with employees, union representatives, business partners, and management.

• Support efforts to evaluate team performance and improve operational processes.

• Assist with administrative activities such as timekeeping and maintaining departmental records and reports.

• Recommend process improvements and support the delivery of solutions across teams.

• Collaborate with experienced team members, seek guidance, and apply feedback to solve operational challenges.

• Complete a project that creates value for the warehouse operation and present your findings to executive leadership.

Required Qualifications

• Currently pursuing a bachelor’s degree in business, operations, supply chain, industrial engineering, manufacturing engineering or a related field from an accredited college or university.

• Must be graduating between December 2027 and June 2028.

• Available to work full-time, 40 hours per week, during the summer internship.

• Ability to work

• Demonstrated analytical and problem-solving ability.

Preferred Qualifications

• Demonstrated leadership through academic, extracurricular, community, or service activities.

• Willingness to work in a fast-paced, shift-based operations environment that may involve standing, walking, and lifting.

• Strong interpersonal and relationship-building skills, with the ability to collaborate across different levels of an organization.

• Ability to work independently and as part of a team.

• Strong verbal and written communication skills.

• High level of integrity, initiative, accountability, and trustworthiness.

• Ability to adapt to ambiguity and take ownership of assigned responsibilities.

• Customer-focused approach to innovative problem-solving.

• Partnership and teamwork skills, with an interest in learning from and sharing knowledge with coworkers.

Start Date

• Start dates for our Summer 2027 internships are May 24th and June 14th of 2027 

Work Location

This role follows an onsite work arrangement and requires the intern to report full-time to one of three General Motors Automotive Parts warehouses: Memphis, Tennessee; Warren, Michigan; or Burton, Michigan.

Schedule Requirement: This 12-week summer internship requires full-time availability, 40 hours per week, on either the first shift (6:30 a.m.–2:30 p.m.) or second shift (3:00 p.m.–11:00 p.m.), as assigned

The AI Engineering and Productivity team in the Global Planning, Design, and Product IT organization is looking for a Staff Data Scientist to propel our mission of empowering Engineering teams by delivering reliable and secure AI-driven tools that streamline workflows, accelerate decision making, surface actionable insights, and unlock measurable productivity gains across the product lifecycle.

As a Staff Data Scientist, you will be responsible for leading one or more AI/ML and data science products, while also contributing highly technical work on problems of significant complexity. You will be accountable for translating ambiguous Engineering business challenges into scalable, production-grade AI products that deliver measurable enterprise impact.

What You’ll Do

• Shape scientific direction, and ensure methodological quality and operational robustness used across the suite of products that you are responsible for.
• Grow the technical capabilities of the scientist community within the AI Engineering and Productivity organization through exploration of new methods and technologies, cross-functional knowledge sharing, mentorship, internal reviews, and establishment of reusable methods and frameworks.
• Drive results on time and within budget, managing risks, and ensuring methodological and operational quality across products that you oversee to generate significant and measurable business impact.
• Work cross-functionally across data engineering, delivery teams, software delivery, other business units and beyond to drive product development, management and results; and
• Influence stakeholders and leaders by translating technical tradeoffs, risks and opportunities into clear business decisions.

Your Skills & Abilities (Required Qualifications)

• 8+ years working with and 3+ years leading advanced analytics , AI/ML and/or operations research initiatives .
• Demonstrated thought leadership surrounding use of innovative methodologies and approaches to solving business problems.
• Deep expertise across multiple AI/ML and analytics domains ( LLMs, forecasting, deep learning, operations research, prescriptive & predictive methods , etc.), with a preferred focus on LLMs.
• Expertise in Python and other cloud-based data science platforms ( Databricks preferred), and proficiency in SQL ;
• Experience with generative AI tools and platforms such as Cursor, GitHub and/or Microsoft Copilot , Glean, Databricks Genie , etc.
• Demonstrated ability to frame ambiguous high-value business problems into tractable analytical strategies and measurable outcomes;
• Strong presentation and communication skills.
• M.S. degree in operations research, engineering, computer science, applied statistics, physics, or related field. Equivalent additional experience may substitute for an advanced degree. 

What Can Give You a Competitive Advantage (Preferred Qualifications)

• 10+ years working with and 6+ years leading advanced analytics, AI/ML and/or operations research initiatives.
• Ph.D. in operations research, engineering, computer science, applied statistics, physics, or related field.
• Demonstrated ability to lead multi-team member initiatives using novel methods resulting in substantial business impact.
• Publications, conference talks, patents or other generated intellectual property, committed open-source work, or other external technical recognition preferred.

Conduct original research and develop practical AI/ML methods that accelerate GM’s research, engineering, and product development capabilities. This role is intended for a recent or soon-to-be-completed Ph.D. who brings strong depth in one or more advanced AI areas and the ability to work across disciplines. The researcher will develop proof-of-concepts (POCs), evaluate them on meaningful engineering or scientific problems, communicate findings clearly, and collaborate with senior researchers and engineering partners to move promising ideas toward impact.

The Team:   

GM R&D is seeking an outstanding early-career researcher to contribute to advanced work in Artificial Intelligence, Machine Learning, and Large Language Models. The role is designed for a fresh Ph.D. It emphasizes research depth, originality, experimental rigor, and growth toward independent technical leadership. The successful candidate will work with senior researchers, technical fellows, and engineering collaborators to formulate important problems, develop new methods, build research prototypes, and validate results. The work may span causal reasoning, neurosymbolic AI, world models, multimodal and generative AI, engineering agents, or related areas. The researcher will be expected to connect theory and experimentation with real engineering needs while maintaining high standards for reproducibility, explainability, uncertainty awareness, and responsible AI.

What You’ll Do:     

• Conduct original research in one or more advanced AI areas such as causal AI, neurosymbolic AI, world models, multimodal or generative AI or engineering agents.

• Translate engineering and scientific challenges into well-defined research questions, hypotheses, algorithms, and experimental plans.

• Design, implement, and evaluate machine learning models and proof-of-concepts using real, simulated, experimental, or engineering data.

• Develop methods that can reason about physical systems, causal relationships, uncertainty, constraints, temporal evolution, or complex interactions among components.

• Establish meaningful baselines and evaluation protocols; analyze failure modes, robustness, generalization, interpretability, and uncertainty rather than relying only on headline accuracy.

• Build reproducible research code, data-processing workflows, and experiment pipelines using modern deep learning practices.

• Collaborate with GM R&D researchers and engineering partners to understand domain constraints, validate research results, and identify pathways from POCs to practical use.

• Communicate technical findings through research reports, presentations, publications, invention disclosures, demonstrations, and clear documentation.

• Contribute to technical discussions and research roadmaps by identifying promising approaches, important risks, and high-value experiments.

• Participate in a collaborative research culture that values intellectual curiosity, constructive peer review, responsible innovation, and continuous learning.

More About Who You Are

• A curious and intellectually rigorous researcher who enjoys working on difficult, open-ended problems.

• Deeply grounded in at least one technical area, while eager to learn and collaborate across adjacent AI, computational science, and engineering disciplines.

• Motivated by research that can create measurable value in real-world engineering workflows, not only benchmark performance.

• Comfortable moving between mathematical formulation, algorithm development, software implementation, and empirical validation.

• Able to explain complex ideas, assumptions, limitations, and results to both technical and general audiences.

• Independent in driving research tasks to completion while actively seeking feedback and working effectively with senior mentors and cross-functional teams.

• Committed to careful experimentation, reproducibility, safety, explainability, and responsible use of AI.

Required Qualifications:      

• Pursuit or Completion of a PhD in one of the following areas: Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Statistics, Computational Science, Engineering, Physics, or a related field
• Able to work fulltime, 40 hours per week

• Demonstrated research depth in at least one relevant area, supported by a dissertation, publications, patents, open-source work, research software, or comparable technical contributions.
• Strong foundations in machine learning and deep learning, with working knowledge of optimization, probability/statistics, numerical methods, or scientific computing as appropriate to the research area.
• Experience developing and evaluating models in Python and frameworks such as PyTorch, JAX, TensorFlow, or comparable tools.
• Ability to formulate experiments, select appropriate metrics and baselines, analyze results, and communicate technical conclusions with appropriate caveats.
• Strong verbal and written communication skills and the ability to collaborate effectively with researchers, engineers, and technical stakeholders.
• Ability to work on-site or in a hybrid research environment in accordance with GM work practices and project needs.

Preferred Qualifications):  

• Research experience in causal inference, counterfactual reasoning, neurosymbolic methods and world models for engineering applications.
• Experience with multimodal AI, large language models, agentic systems, retrieval and reasoning, or AI-assisted engineering and software development.
• Evidence of research impact through high-quality publications, patents, invention disclosures, open-source contributions, awards, or successful technology demonstrations.
• Research or internship experience in automotive, mobility, aerospace, industrial, energy, defense, national laboratory, or university-industry collaboration settings.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).

Work Arrangement:  

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View, CA three times per week, at minimum [or other frequency dictated by the business]. 

  To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.  

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

The salary range for this role is $128,000-$279,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, life insurance, paid vacation and holidays, tuition assistance programs, employee assistance program, and GM vehicle discounts, among others.

REQUIREMENTS: Bachelors degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field. Three (3) years of experience as a Product Manager, Automotive Engineer, Design Engineer or related role. Must also have three (3) years of experience with: MATLAB and Simulink models; Autogenerating code in C; Embedded C programming language; GIT, ETAS INCA, ETAS MDA, and GT-Power tools; Working in a Scaled Agile Frame (SAFe) methodology; Developing control algorithms for Thermal Management Systems; Design Failure Mode and Effect Analysis (DFMEA); Supporting test activities for TMS and GDI; Software verification using Model in the Loop (MIL), Software in the Loop (SIL), Processor in the Loop (PIL), and Hardware in the Loop (HIL); and Dynamometer and in-vehicle rough calibration and validation.

#LI-DNI

REQUIREMENTS : Bachelor’s degree in Mechanical Engineering, Automotive Engineering, or related field of study. Five (5) years of experience as a Design Release Engineer, Chassis Dimensional Engineer, Interior Dimensional Engineer, or related occupation. Five (5) years of experience in the following: Read, interpret and generate engineering drawings and specifications; Technical writing to create written engineering evaluation reports; Computer Aided Design (CAD); Creating Design Failure Mode and Effect Analysis (DFMEA) plans and using FIT application; Geometric Dimensioning and Tolerancing competency; and Root cause analysis and investigations. Four (4) years of experience in the following: Key Characteristic Designation System (KCDS) applicability and usage. Three (3) years of experience in the following: TeamCenter; and Change Management process. Two (2) years of experience in the following: Working on product launch lifestyle.

#LI-DNI

REQUIREMENTS : Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or closely related engineering field and Five (5) years of experience as a Software Engineer, Validation Engineer, Test Engineer, or related role OR Master's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or closely related engineering field and Three (3) years of

experience as a Software Engineer, Validation Engineer, Test Engineer, or related role Three (3) years of experience with: Hardware in the Loop (HIL) integration and regression testing for Electronic Control Units (ECUs); Verifying functionality by performing embedded ECU testing in machine and test bench using dSPACE HIL, Vector CANape, CANalyzer, CANoe, and CAT ET tools; Creating automated test scripts for machine level features and testing using C and Python programming languages; Creating database in CANalyzer to parse software CAN communication data; and Designing and developing Machine Plant, Input/Output (I/O) and Controller Area Network (CAN) simulation models using MATLAB and Simulink tools.

#LI-DNI

GM Defense delivers integrated vehicles, power and propulsion, autonomous systems, and connectivity solutions to global defense, security, and government markets. GM Defense combines General Motors’ proven engineering and manufacturing capabilities with the mission focus and execution speed required by defense customers.

The Role

GM Defense is seeking an Electrical Design Release Engineer to support the design, development, testing, release, and continuous improvement of electrical systems and components.

This role is responsible for translating customer and program requirements into robust, manufacturable, serviceable, and validated solutions. The Electrical DRE will collaborate with engineering, program teams, manufacturing, quality, purchasing, suppliers, and customers to align priorities and deliver results. Success requires adaptability as requirements evolve, ownership of one’s parts and timely escalation of risks.

What you’ll do

• Responsible for electrical systems and components from requirements definition through design, validation, release, launch, and continuous improvement.
• Interpret and help translate customer, vehicle, regulatory, and program requirements into clear engineering requirements and acceptance criteria.
• Develop, integrate, and maintain electrical components such as harnesses, cables, networked modules, sensors, actuators, and related hardware/software interfaces.
• Support evaluation of engineering tradeoffs involving performance, reliability, cost, mass, timing, manufacturability, and serviceability; clearly communicate recommendations and risks.
• Participate in and support design/peer reviews, technical decisions, interface control activities, and engineering documentation, including change work orders, sourcing documentation, bills of material, design data, and release packages.
• Support supplier technical execution, including requirements, design reviews, validation, timing, issue resolution, and corrective actions.
• Provide hands-on support for prototype, pre-production, and production builds, including electrical integration, troubleshooting, containment, and root-cause analysis.
• Support launch readiness by tracking deliverables, open issues, build support, and change implementation to closure.
• Communicate technical status, issues, and risks to engineering and program teams; escalate decisions and recovery needs through the appropriate technical leadership.

Your Skills & Abilities (Required Qualifications)

• Bachelor of Science in Engineering in Electrical/Mechanical Engineering or similar discipline.
• 3+ years of relevant experience in electrical systems, vehicle electrical engineering, design release, controls, harnesses, power distribution, embedded systems, or a related field.
• Working knowledge of electrical engineering fundamentals, including circuit analysis, power/signal distribution, grounding, signal integrity, electromagnetic compatibility, harness/cable protection, or system interfaces.
• Experience interpreting requirements, schematics, wiring diagrams, interface definitions, bills of material, test results, and supplier technical documentation.
• Good analytical, problem-solving, communication, collaboration, and prioritization skills, with sound judgment on assigned work.
• Ability to manage multiple priorities, work with general direction, and escalate risks appropriately.
• Ability to support timely resolution of design and manufacturing issues as part of a cross-functional team.
• Familiarity with manufacturing processes or vehicle launch experience.
• Ability to work periodically at the Milford Proving Grounds, travel as required and legally operate a motor vehicle.
• Candidate must be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee, or refugee). 

Preferred Qualifications:

• MS in Electrical/Mechanical Engineering
• DFSS Black Belt Certification
• Proficiency in Capital Logic
• Experience with EMI mitigation to meet EMC requirements.

Sponsorship:

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

#GMD

We are seeking a Senior Systems Engineer to join the AV Sensing Design team to contribute to defining how autonomous sensing systems are architected and integrated across GM’s autonomy programs. This role focuses on system‑level decisions at the intersection of sensors, embedded software, vehicle platforms, and autonomy software, ensuring that sensing solutions are technically sound, aligned with product intent, and executable in production.

In this position, you will perform system‑level trade studies and support the definition of multi-modality sensor suites spanning camera, radar, lidar, and more. You will work closely with AI/ML, platform software, and vehicle integration teams to address real engineering challenges. The role is intended for engineers who are comfortable operating with autonomy, applying first‑principles and physics-based analysis, and delivering robust technical contributions as systems mature from early development into deployed solutions.

What You’ll Do

You will get the opportunity to contribute to one or more of the following:

• Execute system-level trade studies for the design of multi-modality sensor systems supported by detailed modeling of performance and AV behavioral impacts

• Develop detailed performance specifications for sensors supported by a strong understanding of sensor physics and signal processing.
• Assess performance against product needs to assess risk, quantify impact, and drive continuous improvement

• Work closely with cross-functional stakeholders such as simulation, vehicle integration, perception, localization, and validation teams to manage complex interdependencies.

• Clearly document technical decisions, trade‑offs, and deliverables.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline
• 5+ years of experience with B.S. with sensor experience
• Experience supporting sensor analysis, integration, and cross‑domain technical initiatives

• Technical depth in signal processing, link analysis, data analysis, or ML across at least one relevant sensing modality
• Understand of the challenges of self-driving, and how those map to sensor needs
• Demonstrated ability to contribute effectively in complex problem spaces and collaborate across teams
• Experience with Matlab, Python, or other language to support data analysis and analysis tooling development

What Will Give You a Competitive Edge (Preferred Qualifications)

Experience in one or more of the following areas is a plus:

• Master’s or PhD degree in engineering or related technical discipline
• Experience working on occupantless self-driving autonomous vehicles or advanced remote sensing platforms
• Experience with SPAD lidar and/or imaging radars
• Experience conducting large-scale sensor data analysis
• Experience designing extrinsic calibration and sensor pointing accuracy requirements
• Autonomous vehicle behavior modeling and assessment
• Experience with sensor simulation model development
• Experience designing autonomy use cases including sensor performance and/or vehicle behaviors and analyzing the resulting information
• Experience designing test protocols from lab to vehicle level for performance analysis, simulation model development, or related

We are seeking a highly skilled and experienced Senior Software Engineer to join our Autonomous Vehicles Data team. In this role, you will play a critical part in designing, developing, and maintaining the robust data platforms essential for the development and deployment of self-driving car technology.  

What You’ll Do

·       Own and Improve deployment of key Autonomy Data platform services used in AV model training, mining, labeling and replay.

·       Champion operational excellence via SLO/SLI definition and measurement including leadership in incident and support response.

·       Collaborate with stakeholders (ML & Data Engineers), translate needs & pain points into requirements, build self-serve capabilities and drive adoption.

·       Deliver e2e technical projects owning major technical decisions and tradeoffs & contribute to the team’s strategic roadmap.  

·       Actively participate in team’s planning, code reviews and design discussions.

·       Conduct technical interviews, onboard new and mentor junior engineers.

Your Skills & Abilities (Required Qualifications)

·       BA or BS in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field.

·      5+ years in building and supporting large-scale data platforms, including deployment of high-performance services supporting Petabytes of weekly data serving.

·       Expert-level proficiency in  Java, C++, Go or Python , with a proven track record of designing and implementing robust, distributed systems. 

·       Expertise in deployment and managing services in at least one major public cloud provider (Azure, GCP or AWS) utilizing automation and observability for operational excellence

·       Experience optimizing services for cost efficiency, performance & reliability.

·       Experience with multi-language hosted services architecture and proven ability to manage the full operational lifecycle of systems. 

What Can Give You a Competitive Advantage (Preferred Qualifications)

·       Experience in implementing Data Processing Frameworks (Beam, Spark) and serving layers optimized for high-throughput, low-latency delivery. 

·       Passionate about self-driving technology and its potential impact on the world.

·       Experience delivering (100+) petabyte-scale ingestion, processing, and serving architectures.

·       Experience with SQL engines / queries.

 #LI-KL2

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The salary range for this role is $153,200 - $269,200 . The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as the geography of the selected candidate.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation and holidays, tuition assistance programs, employee assistance program, GM vehicle discounts, and more

mitigation strategies to improve system reliability, robustness, and safety. Track, document, and report corrective actions, ensuring full closure and compliance with engineering and quality standards. Collaborate with cross functional partners—including manufacturing, quality, and maintenance—to support system integration, launch readiness, and production goals. Stay current with emerging technologies, industry trends, and best practices in industrial automation, robotics, and smart manufacturing. Hybrid Work Policy – 3 days In-Office, 2 Days Remote – Must be able to report to local office.

REQUIREMENTS: Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or related field of study and Two (2) years of experience as an Automation Engineer, Controls Engineer, or related occupation. Two (2) years of experience with the following: Designing, programming, and troubleshooting Allen Bradley PLCs, including Safety Logic; Developing and maintaining HMI systems; Designing and supporting industrial communication networks including EtherNet/IP, TCP/IP, and DeviceNet; Configuring and troubleshooting machine vision systems; Supporting and optimizing automated conveyance systems; Configuring and troubleshooting VFDs; and Implementing and supporting error proofing technologies. One (1) year of experience with the following: Programming and troubleshooting FANUC robots for material handling, spot welding, dispensing, and vision guided applications; Developing and supporting 3D vision–based bin picking systems; Supporting high volume manufacturing operations through troubleshooting, optimization, and downtime reduction; and Python and SQL.

#LI-DNI

This posting is for an existing vacancy within the organization and is open to new applications.

AI Disclosure:

As part of the application process, Artificial Intelligence will be used in the hiring process for this role

Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum.

About the Team

The Data Engineering Systems QA team verifies the end-to-end data plane and control plane ecosystem connecting millions of intelligent vehicles to cloud platforms. Our mission is to ensure that vehicle data streaming from embedded controllers reaches cloud data platforms, mobile apps, and operational monitoring services with zero loss, while rigorously testing and monitoring controlled configuration rollouts and campaign operations across the fleet.


The Role

We are seeking a candidate in Test Engineering to strengthen our system verification and quality assurance team. This role is crucial for ensuring the integrity, scalability, and performance of our end-to-end data plane and control plane pipelines, extending from embedded vehicle components to cloud-based analytics platforms.

In this role, you will develop automated verification for bench and vehicle levels of connected vehicle features, validating high-throughput telemetry ingestion, and vehicle health monitoring. The successful candidate will drive testing rigor across both physical test assets and cloud environments, ensuring our systems meet demanding quality, safety, and performance requirements.

What You'll Do (Responsibilities)

• End-to-End Test Strategy & Execution: Formulate, automate, and execute comprehensive test plans covering both data plane and control plane interfaces across vehicle edge, cloud infrastructure layers and beyond.
• Hardware-in-the-Loop (HIL) Testing: Configure, maintain, and execute tests on benches, virtual test environments (SIL), and instrumented vehicle setups.
• System Integration & Performance Testing: Conduct thorough integration, latency and throughput testing across edge and cloud boundaries; identify system bottlenecks and propose optimizations.
• Data Integrity & Pipeline Verification: Validate data serialization, pipeline throughput, deduplication, and database persistence across ingestion feeds and analytical storage layers.
• Observability & Defect Triage: Leverage monitoring dashboards, metrics, and distributed tracing to proactively detect anomalies, perform deep root-cause analysis, and track defect resolution across hardware and software teams.
• Collaborative Engineering: Partner closely with embedded software developers, cloud platform teams, and system architects to facilitate seamless system integration and drive design-for-testability.
• CI/CD & Test Automation: Build and maintain automated regression suites integrated into CI/CD pipelines to enforce quality gates for every software and firmware release.
• Documentation & Quality Standards: Maintain rigorous documentation of system test benches, test frameworks, test results, and performance baselines.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical discipline.
• 3+ years of experience in software or systems testing, with exposure to embedded systems, connected devices, or IoT ecosystems.
• Demonstrated hands-on experience with Hardware-in-the-Loop (HIL) testing, including test setup, wire harness troubleshooting, signal/bus simulation, test execution, and results analysis.
• Proficiency in Python for automated testing, test harness creation, and data processing.
• Practical ability to inspect, read, and debug compiled code written in C/C++, Rust, or Java .
• Working knowledge of SQL for querying relational and analytical databases to verify data persistence and message integrity.
• Experience with operating systems such as Linux, QNX, or Android .
• Solid understanding of Agile methodologies, Git version control, and CI/CD automated test integration.

What Can Give You A Competitive Edge (Preferred Qualifications)

• Experience with software observability, including monitoring, logging, metrics, dashboards, and alerting.
• Hands-on experience with observability and monitoring platforms such as Datadog, Grafana, or OpenTelemetry .
• Experience with data and analytics platforms such as Databricks , Apache Spark, or Apache Kafka.
• Familiarity with cloud platforms such as AWS or Microsoft Azure .
• Knowledge of telecommunication networks (cellular 4G/5G, LTE-V2X), IoT messaging protocols (MQTT, Protobuf, WebSockets), and transport security (TLS/mTLS).
• Familiarity with automotive networking protocols (CAN, CAN-FD, Automotive Ethernet, SOME/IP, UDS) and analysis tools (Vector CANoe, CANalyzer, Wireshark).
• Understanding of microservices architecture and distributed cloud systems.

Compensation: 

The salary range for this role is $90,900 to $136,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.  

Benefits Overview

The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:

• Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave;
• Healthcare, dental, and vision benefits;
• Life insurance plans to cover you and your family;
• Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement;
• GM Vehicle Purchase Plan for you and your family.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) 

To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.  

Work Arrangement:  

On-Site: This internship is categorized as on-site. The selected intern is expected to report to the office 5 days a week. 

Locations:  

About the Team

The AV Systems, Sensing and Integration Team is responsible for developing, integrating, and validating cutting-edge assisted and automated driving capabilities and sensors across the entire vehicle lifecycle.

Our organization delivers hardware sensors and software from requirements, design, development, implementation, and analysis of technical products and systems. We combine deep expertise in sensor hardware, perception, software, features, and vehicle systems engineering to ensure safe, reliable, and customer-delighting driving experiences.

This internship supports three technical areas:

• Optical Sensing — Develop and evaluate camera and optical-sensing technologies, including sensor performance, testing, calibration, and integration.
• Design & Release — Support engineering design, requirements development, technical documentation, and design-release process improvements for sensing systems and subsystems.
• RF Sensors & Supplier Software Integration — Support RF sensor development, hardware and software integration, supplier collaboration, testing, debugging, and issue resolution.

What You Will Do

• Develop engineering designs, including subsystems, and implement engineering changes.
• Develop requirements and subsystem technical specifications as required.
• Execute sensor-level tests on prototype vehicles.
• Leverage a unique perspective to develop and iterate design and release process improvements.
• Collaborate with hardware, software, suppliers, and integration teams to ensure performance meets specifications.
• Perform bench and laboratory testing, debug hardware issues, and document results in collaboration with engineering teams.
• Support integration, calibration, and environmental operating-domain evaluation for cameras, radars, and lidars.
• Assist with optical-sensing, RF-sensor, supplier-software, and vehicle-integration activities based on team assignment.
• Analyze test data, communicate findings, and support root-cause investigations.

What We’re Looking For

• Strong interest in hardware, ADAS sensors, computer vision, system design, simulation, embedded systems, RF systems, or related areas.
• Excellent problem-solving skills, attention to detail, and ability to communicate findings clearly.
• Hands-on mindset: you enjoy building, testing, debugging, and learning through doing.
• Comfortable working in a team and managing multiple tasks toward a deliverable.

Required Qualifications

• Pursuit of a Bachelor’s or Master's degree in Computer Engineering, including Electrical, Mechatronics, System Design, Mechanical, Chemical, or an equivalent discipline..
• Coursework or project experience in Python, MATLAB, or embedded microcontrollers.
• Able to work full-time, 40 hours per week during the internship.

Preferred Qualifications

• Basic understanding of automotive control systems, ADAS features, sensors, electronics, optics, RF systems, or supplier software integration.
• Familiarity with model-based design tools such as MATLAB/Simulink.
• Familiarity with communication protocols such as CAN, LIN, or Ethernet.
• Proficiency in scripting languages such as Python.
• Experience with laboratory instrumentation, data acquisition, requirements, testing, or technical documentation.
• Graduating between December 2027 and August 2028.
• Intent to return to the degree program after completion of the internship.

General Motors has a need for qualified Mechanical Journeypersons (Pipefitter). You will work under minimal supervision with a high level of independent judgement and problem solving. You should be flexible enough to take on and tackle multiple job assignments in a shift. 

Preferred Experience Includes:  

• Experience with planned maintenance systems and predictive technologies 
• Experience with industrial robotics, automation, and conveyance systems 

 
Primary Responsibilities:  

• Follow established safety procedures according to OSHA standards and company procedures 
• Maintain, dismantle, repair, and replace mechanical and hydraulic components (e. g. bearings, seals, details, carriers, etc.) on industrial machinery such as shafting, motors, generators, air compressors, engines, pumps, cylinders, gears, couplings, linkages, ball screws, high speed CNC spindles, coolant systems and filters, and combustion equipment and valves 
• Layout, assemble, fabricate, maintain, and repair piping systems 
• Use various hand or power tools for measuring, cutting, threading, grooving, bending, soldering, assembling, joining, and installing pipes, valves, and fittings 
• Read and interpret blueprints for the mechanical operation and assembly of conveyor systems, material handling systems, robots, and other automation 
• Operate mobile equipment (e.g. forklifts, vertical lifts, cranes) 
• Determine loading requirements to rig equipment and material for lifting 
• Set up and operate conventional or computer numerically controlled (CNC) machine tools such as lathes, milling machines, and grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes 
• Fabricate punches, tools, steel rule tools and t-sets to exact specifications 
• Plan sequences of operations for fabricating tools or assemblies using blueprints, sketches, or models 
• Determine quality of finished products, ensuring defect-free parts, by verifying dimensions, alignment, and clearances for conformance to specifications using measuring instruments such as calipers, gauge blocks, micrometers, and dial indicators 

Interested individuals must meet the following minimum qualifications:

• At least six (6) years of related experience in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair) or a U.S. Department of Labor Certificate of Completion in a Mechanical trade (millwright, pipefitter, toolmaker, machine repair). 
• Must be able to satisfactorily complete the General Motors hiring process requirements which includes   comprehensive assessments, drug testing, and a background check  
• At least 18 years of age 
• Eligible to work in the United States 
• Must be willing to work flexible shift hours and day, afternoon, or night shifts as well as overtime hours daily, weekend and holidays on those shifts with little notice 
• GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.  DO NOT APPLY FOR THIS ROLE IF YOU NEED OR WILL NEED GM IMMIGRATION SPONSORSHIP TO WORK OR TO REMAIN EMPLOYED AT GM (e.g., H-1B, TN, STEM OPT, etc.). 
• If you are a current GM employee operating under a collective bargaining agreement, please contact your local HR/LR for employee placement opportunities.  
• This position may be filled with a Journeyperson or Journeyperson In Training, the compensation ranges for a JIT include ($38.55 - $44.97) or Journeyperson rate of $45.89 Certificates/credentials and scoring in interview will determine your status and pay.

Physical Requirements

• Quick response to safety instructions, alarms, and signals are a must
• Ability to work and stand for extended periods
• Comfortably wear personal protective equipment
• Navigate a busy environment
• Bend, twist, kneel, crouch, and reach
• May need to lift or carry materials weighing up to 50 lbs. depending on department
• Occasional sitting during certain tasks
• Drive mobile equipment when needed

General Motors UAW hourly employment offers a very competitive compensation and benefit package. An annual incentive payout is also available, as qualified. 

Relocation and travel expenses will be the responsibility of the applicant.

Please note – per the labor agreement between GM and the UAW, GM may share information and documentation relating to the credentials of applicants for this position (e.g., resumes, journeyperson cards, interview notes, certificates, etc.) with UAW personnel who have a need to know as part of their role on the UAW skilled trades team.

Hybrid:  

This means the successful candidate is expected to report to the Warren Technical Center, Warren MI three times per week, at minimum, or other frequency dictated by the business. (Tuesday, Wednesday and Thursday are the desired days to be onsite)

Our Mission: 

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.   

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.   

The Role:

As a Press and Automation Manufacturing Engineer, you will help design, implement, and optimize the press and automation systems that support our stamping operations. In this role, you will work on innovative manufacturing solutions that improve safety, quality, throughput, and reliability across our facilities.

You will be responsible for developing and validating engineering solutions, identifying opportunities for automation and process improvement, and supporting the effective use of equipment, tooling, materials, and personnel. This role requires strong technical judgment, hands-on problem solving, and the ability to work across a broad range of mechanical and manufacturing systems.

You will also partner closely with engineering, suppliers, plant teams, controls engineers, and IT teams to deliver projects from concept through implementation. In addition to leading technical work, you may provide direction to other engineers or engineering support personnel and support work being performed at supplier build shops and stamping facilities.

What You’ll Do:

• Specify, procure, develop, integrate, and validate press and automation system solutions for stamping plants
• Perform design analysis of mechanical systems and manufacturing equipment
• Partner with controls engineering, IT, suppliers, and plant teams to define requirements and support system integration
• Analyze existing systems and identify opportunities to improve accuracy, reliability, speed, and overall performance
• Lead root cause analysis and implement corrective actions related to press and automation system issues
• Troubleshoot and resolve technical issues involving equipment, machinery, and automation systems
• Support continuous improvement initiatives to enhance manufacturing efficiency, quality, and cost performance
• Develop and maintain technical documentation related to equipment and system design, development, and implementation
• Support training for production and plant personnel on the operation and maintenance of press and automation systems
• Work with internal partners and external suppliers to implement cost reduction strategies and manufacturing improvements

Your Skills & Abilities (Required Qualifications):

• Bachelors of Science degree in Engineering is required. Mechanical preferred, or related field.
• 2+ years of experience developing and maintaining machinery and equipment in manufacturing, preferably with press and automation systems in stamping
• Knowledge of mechanical and electrical systems, including mechanics, hydraulics, and pneumatics
• Understanding of engineering theory, manufacturing methods, and equipment operation principles
• Experience coordinating design and construction activities, preferably in automotive manufacturing facilities
• Experience managing projects with changing production schedules, budget constraints, and multiple stakeholders
• Proficiency with Microsoft tools, including MS Project
• Experience using CAD and engineering systems such as AutoCAD, Unigraphics, SOLIDWORKS, Teamcenter, or Teamcenter Visualization
• Strong problem-solving skills, initiative, and ability to work effectively in ambiguous situations
• High level of integrity and ability to work independently

What Will Give You A Competitive Edge (Preferred Qualifications):

• Master of Science degree in Engineering. Mechanical is preferred, or related field.
• 5+ years of experience developing and maintaining machinery and equipment in stamping, body shop, or assembly plant operations
• Demonstrated experience developing press and automation equipment or systems
• Hands-on experience operating and troubleshooting industrial machinery or automation systems
• Advanced study or experience in a related STEM field

Benefits:

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Sponsorship:

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. 

This role is based remotely, but if the candidate lives within a 50 miles radius of a GM hub, they will be expected to report to the location three times a week (or other frequency dictated by your manager). 

The Role:

General Motors is seeking a Principal Software Engineer to shape and scale the engineering platforms that build, test, integrate, validate, and deliver embedded software for software-defined vehicles. This role is for a hands-on technical leader who can turn ambiguous, cross-team problems into durable architecture, practical standards, and measurable improvements in engineering effectiveness, release confidence, and product quality. 

The successful candidate will lead a major capability across multiple teams, influence technical direction beyond their immediate organization, and connect software, tooling, infrastructure, test, and release activities into a coherent engineering system.

What You'll Do:   

• Be a critical leader of software engineering productivity and effectiveness.  
• Identify opportunities, strategies, process improvements, and lead the change. 
• Be hands-on by leading high impact efforts.  
• Be a strong communicator, coach, and mentor.  
• Analyze unusual and difficult problems effectively.  
• Ability to connect multiple initiatives together to deliver higher value.  
• Visualize required innovation, learning and simplification in this space and transition the team to execute what is required to achieve.  
• Maintain command skills and empathy at the same time  
• Architect enterprise‑scale CI/CD systems for embedded, simulation, and cloud workloads. 
• Define branching, release, and quality‑gate standards across multiple engineering domains. 
• Design GitOps‑based delivery for multi‑cluster Kubernetes environments. 
• Lead progressive delivery strategy including automated rollback and analysis. 
• Establish IaC architecture using Terraform modules and multi‑environment patterns. 
• Integrate security and compliance into pipelines and artifact flows. 
• Define observability standards for pipelines, simulation workloads, and runtime systems. 
• Mentor DevOps and simulation developers across the organization. 

   
Your Skills & Abilities (Required Qualifications):    

• Bachelor's degree in software engineering or equivalent experience. 
• 12+ years of experience in software development .
• Deep understanding of software architecture for real time systems.  
• Experience shipping high quality safety critical products.
• Exceptional problem-solving and analytical abilities, with a keen attention to detail.  
• Demonstrated ability to manage multiple projects and priorities in a fast-paced environment.  
• Demonstrated ability to work in an action-oriented decision-making environment.  
• Deep Kubernetes knowledge including cluster operations. 
• Strong Terraform/IaC experience with production‑grade module design. 
• Experience with embedded or simulation workflows (vECUs, SIL, FMU, SSP). 
• Cloud architecture experience across AWS, Azure, or GCP.

What Will Give You a Competitive Edge (Preferred Qualifications):  

• Master's degree in software engineering or equivalent experience 
• 15+ years of experience in software development .
• Experience in automotive, aerospace, defense, industrial, or another embedded, real-time, regulated, or safety-critical environment. 

• Knowledge of functional safety, ISO 26262, cybersecurity engineering, ASPICE, MISRA, AUTOSAR, or related engineering practices. 

• Experience with vehicle-level integration and validation, including SIL, CoSIM, vECU, HIL, benches, physical systems, or other virtual and hardware-based environments. 

• A record of creating enterprise standards, platform strategies, technical communities, developer self-service, reliability objectives, or measurable productivity improvements. 

• Advanced degree in a related technical field.

Company Vehicle:

Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. 

Compensation:

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

The Salary Range:

Salary range for this role is 171,150 and 288,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 

Bonus Potential:

An incentive pay program offers payouts based on company performance, job level, and individual performance. 

 
Benefits:

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 

REQUIREMENTS: Bachelor’s degree in Systems Engineering, Mechanical Engineering, Electrical Engineering, Energy Systems, or related field of study and Three (3) years of experience as a Battery Cooling Lines Design and Release Engineer, Body Structures Design and Release Engineer, Body Structures Value and Optimization Engineer, or related occupation. Three (3) years of experience in the following: Principles of design release engineering; Program execution; Design engineering theory; Technical writing and creation of written engineering evaluation reports; Reading, interpreting, and generating engineering drawings and specifications; Multi-materials applications for body structures; Conceptualizing and materializing design solutions; and CAD and CAE.

#LI-DNI

Hybrid: This internship is categorized as on-site. The selected intern is expected to report to the office 3 days a week. 

Location:  

Sunnyvale, CA 

About the Team

The State Estimation, Alignment, and Mapping (SEAM) team develops the sensing and spatial understanding capabilities that help autonomous vehicles know where they are, interpret their surroundings, and maintain reliable operation over time. The team works on sensor fusion, state estimation, real-time localization, static and dynamic sensor calibration, next-generation mapping, and capabilities that support primary and fallback driving systems.

SEAM combines robotics, computer vision, estimation theory, machine learning, geometry, and production software engineering. Our work supports both onboard, real-time autonomy and offboard, high-fidelity map and data-generation workflows.

About the Role

As a SEAM Intern, you will work on a well-scoped research or engineering project related to sensing, estimation, localization, mapping, or autonomy reliability. You will collaborate with experienced engineers and researchers to design algorithms, implement software, evaluate system performance, and understand how sensing capabilities operate in real-world autonomous driving systems.

Potential focus areas include:

• State Estimation and Sensor Fusion: Combine information from multiple sensors and vehicle signals to estimate position, orientation, motion, and other states robustly.
• Sensor Alignment and Calibration: Develop methods for static and dynamic calibration, sensor registration, and maintaining alignment as vehicle and environmental conditions change.
• Localization: Improve real-time localization and map-based positioning across diverse driving environments.
• Next-Generation Mapping: Build or evaluate high-fidelity, large-scale maps that provide useful spatial context beyond the immediate sensor range.
• Fallback and Secondary Capabilities: Develop reliable estimation, localization, or mapping functions that support safe operation when nominal system capabilities are unavailable or degraded.

What You’ll Do

• Develop, prototype, and evaluate algorithms for sensor fusion, state estimation, localization, calibration, mapping, or related autonomy capabilities.
• Work with camera, lidar, radar, inertial, vehicle, map, and other multimodal data sources.
• Implement software and tools for data processing, visualization, offline analysis, simulation, and system evaluation.
• Analyze accuracy, robustness, latency, and failure modes across diverse operating conditions.
• Apply software engineering best practices, including design reviews, code reviews, automated testing, continuous integration, and documentation.
• Collaborate with perception, planning, controls, robotics, systems engineering, and vehicle-program partners.
• Communicate technical findings and contribute to design discussions and project documentation.

Required Qualifications

• Currently enrolled in or pursuing a Ph.D. degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related technical field.
• Demonstrated experience through coursework, research, academic projects, or professional work in robotics, state estimation, sensor fusion, computer vision, localization, mapping, controls, or a related area.
• Strong programming skills in C++ and/or Python.
• Strong foundation in linear algebra, probability, geometry, optimization, or estimation methods.
• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a cross-functional, team-oriented environment.
• Strong written, verbal, and presentation skills.
• Availability to work full-time, 40 hours per week, during the internship period.

Preferred Qualifications

• Experience with Kalman filtering, factor graphs, SLAM, visual-inertial odometry, bundle adjustment, point clouds, geometric computer vision, or multi-sensor calibration.
• Familiarity with autonomous vehicles, advanced driver assistance systems, robotics, ROS, or safety-critical systems.
• Experience with large-scale sensor or map datasets, simulation, data association, or offline evaluation.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
• Familiarity with real-time systems, distributed systems, high-performance computing, or production software development
• Intent to return to a degree program after completion of the internship or co-op.
• Must be graduating between December 2027 and June 2028

Compensation:  

• The monthly salary range for this role is $14,600 per month  
• GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program. 

What You’ll Get from Us

• Paid U.S. GM holidays.
• GM Family First Vehicle Discount Program.
• Potential for growth within GM based on performance and business needs.
• Intern events and opportunities to network with company leaders and peers.
• Mentorship and hands-on experience with the data and ML foundations behind autonomy

REQUIREMENTS: Bachelor’s degree in Electrical Engineering, Computer Science, Mechanical Engineering, Automotive Engineering, Mathematics, or related field and Two (2) years of experience as a Software Engineer, Application Engineer, Integration Engineer, Systems Engineer, or related role. Two (2) years of experience with the following: Electronic control modules and embedded control systems; Various programming languages including C, C++, System C, and Python; Software build process and associated tools knowledge including Gerrit, Jenkins, and Git; Software debugging tools including Lauterbach and Green Hills Multi IDE; and Automotive communications including CAN, LIN, and SPI.

#LI-DNI

We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML platform infrastructure to support advanced AI research and model development initiatives. As a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles.

What You'll Do: 

• Design and development of scalable, reliable, high-performance ML framework to support model training at scale.

• Raise the bar on system observability, debuggability, and operational excellence, and user experience.

• Model training performance analysis and optimization solutions to scale distributed training workflows and maximize resource utilization across heterogeneous hardware environments, and save cost.

• Collaborate with cross-functional teams to integrate new features and technologies into the platform.

Your Skills & Abilities (Required Qualifications)

• Bachelors degree or higher in Computer Science or equivalent major OR equivalent relevant experience

• 5+ years professional software engineering experience.

• 1+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models

• Strong programming skills in Python, with proficiency in frameworks such as,PyTorch (preferred), TensorFlow, or similar

• Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure).

• Willingness to travel to Sunnyvale, CA as needed

• Comfortable working in highly ambiguous and dynamic environments

What Will Give You a Competitive Edge (preferred qualifications):

• Self-motivated, strong execution, impact-delivering oriented

• Extensive knowledge and experience with PyTorch 2.x+ and distributed training framework

• Experience with design and development of training framework that supports FSDP, Pipeline Parallelism and other scalable solutions to training large foundational models

• Experience with profiling, analysis, debugging and optimizing training and data loading performance.

• Excellent communication skills to resolve controversial, make consensus, communicate risks and give constructive feedback

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.  

• The salary range for this role: is  $170,000 to $240,800 . The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. 
• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This role is based remotely, but if the candidate lives within a 50 miles radius of a GM hub, they will be expected to report to the location three times a week (or other frequency dictated by your manager). 

The Role:

General Motors is seeking a Staff Software Engineer to shape and scale the engineering platforms that build, test, integrate, validate, and deliver embedded software for software-defined vehicles. This role is for a hands-on technical leader who can turn ambiguous, cross-team problems into durable architecture, practical standards, and measurable improvements in engineering effectiveness, release confidence, and product quality. 

The successful candidate will lead a major capability across multiple teams, influence technical direction beyond their immediate organization, and connect software, tooling, infrastructure, test, and release activities into a coherent engineering system.

What You'll Do:

• Be a critical leader of software engineering productivity and effectiveness.  
• Identify opportunities, strategies, process improvements, and lead the change.  
• Be hands-on by leading high impact efforts.  
• Be a strong communicator, coach, and mentor.  
• Analyze unusual and difficult problems effectively.  
• Ability to connect multiple initiatives together to deliver higher value.  
• Visualize required innovation, learning and simplification in this space and transition the team to execute what is required to achieve.  
• Maintain command skills and empathy at the same time.  
• Architect enterprise‑scale CI/CD systems for embedded, simulation, and cloud workloads. 
• Define branching, release, and quality‑gate standards across multiple engineering domains. 
• Design GitOps‑based delivery for multi‑cluster Kubernetes environments. 
• Lead progressive delivery strategy including automated rollback and analysis. 
• Establish IaC architecture using Terraform modules and multi‑environment patterns. 
• Integrate security and compliance into pipelines and artifact flows. 
• Define observability standards for pipelines, simulation workloads, and runtime systems. 
• Mentor DevOps and simulation developers across the organization. 

   
Your Skills and Abilities (Required Qualifications):

• Bachelor's degree in software engineering or equivalent experience. 
• 10 years of experience in software development.  
• Deep understanding of software architecture for real time systems.  
• Experience shipping high quality safety critical products.  
• Exceptional problem-solving and analytical abilities, with a keen attention to detail. 
• Demonstrated ability to manage multiple projects and priorities in a fast-paced environment.  
• Demonstrated ability to work in an action-oriented decision-making environment .
• Deep Kubernetes knowledge including cluster operations. 
• Strong Terraform/IaC experience with production‑grade module design. 
• Experience with embedded or simulation workflows (vECUs, SIL, FMU, SSP). 
• Cloud architecture experience across AWS, Azure, or GCP.

What Will Give You A Competitive Edge (Preferred Qualifications):

• Master's degree in software engineering or equivalent experience. 
• 15 years of experience in software development.  
• Experience in automotive, aerospace, defense, industrial, or another embedded, real-time, regulated, or safety-critical environment. 

• Knowledge of functional safety, ISO 26262, cybersecurity engineering, ASPICE, MISRA, AUTOSAR, or related engineering practices. 

• Experience with virtual and hardware-based validation, including SIL, CoSIM, vECU, HIL, benches, or system-level testing. 

• Experience establishing platform products, reusable templates, developer self-service, engineering standards, or reliability objectives. 

Company Vehicle:

Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. 

Compensation:

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

The Salary Range:

Salary range for this role is 171,150 and 288,500. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. 

Bonus Potential:

An incentive pay program offers payouts based on company performance, job level, and individual performance. 

 
Benefits:

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. 

Hybrid: The successful candidate is expected to report to Milford, MI three times per week, at minimum, or as dictated by the business.

The Role:

We are seeking a highly skilled and motivated Staff Software Engineer to lead the development of innovative battery management software solutions for low-voltage (LV) systems. This role demands a strong technical leader who can drive strategic initiatives, foster cross-functional collaboration, and champion best practices in software engineering within a dynamic automotive environment.

What You'll Do :

• Lead the architectural design and development of complex software for LV battery sensing systems, ensuring scalability, reliability, and performance.
• Drive continuous improvement initiatives in software development processes, tooling, and methodologies, incorporating best practices such as SAFe.
• Mentor and provide technical guidance to junior engineers, fostering a culture of continuous learning and growth.
• Collaborate extensively with cross-functional teams, including hardware engineers, quality assurance, and product management, to define requirements and deliver integrated solutions.
• Act as a subject matter expert in LV battery software, contributing to strategic technical roadmaps and decision-making.
• Identify and resolve complex technical problems through effective group problem-solving techniques and innovative software coding solutions.
• Contribute to the development and implementation of enterprise data architecture strategies relevant to battery system data.
• Ensure adherence to industry standards, safety regulations, and internal quality processes throughout the software development lifecycle.

Your Skills & Abilities (Required Qualifications):

• Bachelor's in Computer Science, Electrical Engineering, or a related technical field.
• 7+ years of progressive experience in software development, with a significant focus on embedded systems or automotive applications.
• Proven expertise in software coding, with strong proficiency in C or other relevant programming languages.
• Demonstrated experience in leading technical projects and initiatives, exhibiting strong strategic leadership.
• Prior experience with developing and leading battery management sensing software and expertise with different sensing AFEs.
• Extensive knowledge of Scaled Agile Framework (SAFe) principles and practices.
• Strong understanding of enterprise data architecture concepts and their application in complex systems.
• Exceptional problem-solving skills and the ability to facilitate effective group problem-solving sessions.
• Excellent communication and interpersonal skills, with a proven ability to lead and collaborate effectively across diverse teams (Cross-Functional Leadership).
• A strong commitment to continuous learning and staying abreast of emerging technologies and industry trends.

What Will Give You A Competitive Edge (Preferred Skills):

• Master's degree in Computer Science, Electrical Engineering, or a related technical field.
• 10+ years of progressive experience in software development, with a significant focus on embedded systems or automotive applications.
• Prior low voltage battery or Tier One experience launching programs.
• Ability to use AI tools to accelerate product development.

Company Vehicle:

Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. 

General Motors Construction is responsible for planning, designing, and executing more than $2B in facility capital projects annually across manufacturing and non-manufacturing facilities. The Assistant Director, Construction is accountable for safe, predictable, and high-quality execution across this complex North American portfolio. The role leads through Construction Group Managers and Project Managers across concurrent projects, with accountability for portfolio priorities and execution performance.

The role owns delivery from design/build contract award through mobilization, field execution, commissioning, turnover, closeout, and warranty. Partnering closely with the Director of Planning, Design, and Engineering and other functional leaders, the Assistant Director converts approved scope and technical direction into successful construction outcomes while balancing Safety, Cost, Schedule, Quality, business continuity, and long-term value.

Note : We are hiring for two Assistant Director, Construction positions that together oversee the North American construction portfolio. One position will have responsibility for Manufacturing and CCA/Distribution construction projects; the other will have responsibility for Non-Manufacturing, Canada, and Mexico construction projects.

Key Responsibilities

Set execution strategy and operating direction

• Set the construction strategy, priorities, governance, and operating model for the assigned portfolio in alignment with General Motors’ facility investment priorities.

• Lead Construction Group Managers and Project Managers across concurrent projects, with clear operating rhythms, decision rights, and resource plans.

• Balance portfolio priorities and intervene when project performance, organizational capacity, or business needs require leadership action.

• Hold portfolio leaders accountable for approved commitments, performance, and timely escalation.

• Advise senior leaders on capital priorities, delivery strategies, organizational capacity, enterprise trade-offs, and operational risk.

Lead construction delivery and project controls

• Oversee design/build contractor delivery from procurement and contract award through construction, commissioning, turnover, closeout, and warranty.

• Ensure contractors maintain compliant plans for execution, schedule, cost, safety, quality, risk, and commissioning.

• Direct contractor performance, changes, claims, contingency, supplier coordination, operational interfaces, and recovery actions.

• Ensure consistent application of project controls for scope, funding, procurement, contracting, change, risk, document control, invoicing, reporting, and closeout.

• Maintain accurate project records, performance dashboards, governance reviews, audit readiness, corrective actions, and transparent reporting.

Drive Safety, Cost, Schedule, and Quality outcomes

• Enforce General Motors safety requirements, site plans, regulatory compliance, leading and lagging indicators, incident response, and corrective actions.

• Control budgets, commitments, forecasts, contingency, payments, changes, claims, and variances; provide clear explanations and recovery recommendations.

• Maintain baseline schedules, critical-path visibility, milestones, look-ahead plans, long-lead tracking, and recovery plans.

• Enforce quality plans, inspections, testing, nonconformance resolution, punch-list closure, commissioning readiness, and turnover quality.

• Identify and mitigate risks related to safety, cost, schedule, quality, permitting, constructability, operations, compliance, and business continuity.

Manage commercial risk and stakeholder partnerships

• Serve as a senior construction partner to business leaders, facility operations, Finance, Purchasing, Legal, Audit, Environmental, and other corporate functions.

• Partner with Purchasing on sourcing, contracts, supplier performance, and commercial issues; partner with Operations on continuity, shutdowns, commissioning, and readiness.

• Coordinate with Legal, Audit, Finance, and Environmental on contracts, claims, controls, funding, compliance, permits, remediation, and sustainability requirements.

• Lead relationships with contractors, consultants, equipment providers, suppliers, and other external partners; align stakeholders, secure decisions, and resolve roadblocks.

• Provide senior leaders with clear portfolio status, material risks, decisions, forecasts, and recovery recommendations.

Build organizational capability and talent

• Lead, coach, and develop Construction Group Managers, Project Managers, and construction professionals through clear expectations, feedback, performance management, and career development.

• Build succession depth, strengthen capability, balance workload, and deploy talent to priority needs across the portfolio.

• Champion organizational change and use data, lessons learned, technology, and industry practices to improve delivery predictability and reduce rework, claims, and punch-list items.

• Foster an inclusive, accountable, collaborative, and safety-focused culture grounded in integrity, continuous learning, and ownership.

Required Qualifications

• Bachelor’s degree in construction management, engineering, architecture, business, or a related field; equivalent experience may be considered.

• Fifteen or more years of progressive experience leading complex industrial, manufacturing, commercial, infrastructure, or facilities construction programs.

• Demonstrated experience setting strategy, operating direction, performance expectations, and resource plans through project managers, construction managers, and other technical or delivery professionals across multiple complex projects.

• Demonstrated experience with design/build delivery, contractor performance, project controls, change management, commissioning, turnover, closeout, and warranty.

• Strong knowledge of owner requirements, safety, cost control, scheduling, quality assurance, contracts, claims, delivery models, constructability, risk management, supplier performance, and operational readiness.

• Proven financial and commercial judgment, including budgeting, forecasting, contingency, contract strategy, change management, and capital stewardship.

• Strong executive communication, negotiation, problem-solving, conflict resolution, and stakeholder-influence skills.

• Experience operating in a complex, matrixed organization across multiple sites, regions, functions, and cultures, including cross-border or North American environments.

• Demonstrated judgment balancing safety, quality, cost, schedule, compliance, operational continuity, and long-term value when priorities and risks compete.

Preferred Qualifications

• Advanced degree or professional credentials such as Professional Engineer, Project Management Professional, or Certified Construction Manager.

• Experience leading multi-site or multi-region construction portfolios in complex manufacturing, technology, or facilities environments.

• Experience with multiple delivery models, integrated project delivery, digital project controls, or comparable construction technologies.

• Experience leading organizational transformation, operating-model change, or capability-building initiatives.

Onsite:  This role is categorized as onsite. This means the successful candidate is expected to report to the Arlington facility on a full-time basis.

The Role:  

The Health Center Physician Assistant or Nursing Practitioner works under the direction of a Health Center Medical Director or physician to support delivery of medical care.  They oversee and provide direct patient care and treatment, perform medical examinations, integrate with the health center nurse supervisor, support the site emergency response program, and promote health and well-being in an automotive manufacturing setting

What You'll Do (Responsibilities):

• Support Medical Department Objectives
• Practice Medical Examinations
• Support Disability/WC management
• Support corporate Medical Initiatives
• Integrate with Health Center Nurse Supervisor to support the business and business partners
• Responsible for the site Emergency Response Program
• Promote Wellness/Wellbeing initiatives at the site
• Support Medical Department Objectives
• Follow GM Medical Department policies and procedures
• Provide physician, physician assistant, or nurse practitioner vacation and absence coverage
• Follow all Federal and State occupational medical requirements and laws
• Maintain all appropriate licensure, certifications, and training
• Support medical department audits
• Participate in Job Site Evaluations and provide Medical Opinion to support management of the OSHA Log
• Concisely document all patient medical assessments and treatments in the Electronic Medical Record
• Clinical Occupational Medicine Practice, Medical Examinations, Support Disability/WC Management, Responsible for the site Emergency Response Program
• Diagnosis and treatment of injuries and illnesses as approved by the Medical Director and may include simple procedures
• Conduct medical surveillance and medical qualification examinations
• Participate in the management of disability and Workers Compensation including fitness for duty, return to work exams and employee placement
• Lead or participate in preventative occupational health activities: Ergonomics, Bloodborne pathogens, Travel medicine
• Lead or participate in medical emergency response team and activities at the plant level, including assisting/overseeing in training and acting as coordinator as indicated
• Manage First Responders
• Support Corporate Medical Initiatives
• Training
• Special Projects
• Policy and Procedure review and creation
• Partner with the Health Center Nurse Supervisor to
• Provide Occupational health and medical support, guidance and information to plant manufacturing staff, HR, Union representatives, safety, industrial hygiene, and ergonomics staff as directed
• Promote Employee Health and Wellbeing
• Health education and coaching
• EAP services and support
• Attend Plant meetings as requested by the Health Center Nurse Supervisor

Your Skills & Abilities (Required Qualifications) :

• 3+ years of relevant medical experience
• Good interpersonal skills and ability to work effectively in a cross-functional environment
• Ability to communicate, motivate, and inspire others
• Ability to lead change within work groups and departments
• Demonstrates innovative and strategic thinking
• Must be able to work on an Off Shit (2nd Shift and 3rd Shift)

Education and Training - PA

• Master’s degree in appropriate field required
• PA certification is required
• Valid medical license in the State(s) of practice

Education and Training - NP

• Master of Science degree in Nursing or Doctor of Nursing Practice degree required
• Board certification is required
• Valid medical license in the State(s) of practice

This job may be eligible for relocation benefits.
 

Chevrolet

Be the driving force behind one of America's most recognized automotive brands. As a Chevrolet Remote Dealer Contact (RDC), you'll partner directly with dealers to grow sales, launch innovative products, and influence business performance across a diverse portfolio ranging from trucks and SUVs to EVs. This is an opportunity to make a measurable impact while building relationships and leading from the front. 

The Role  

Help shape the future of GM's retail business. As a Regional Dealer Contact, you'll work directly with dealerships to drive sales growth, improve customer loyalty, and strengthen overall business performance. Acting as a trusted consultant and business partner, you'll leverage data, insights, and relationship-building skills to identify opportunities and influence results. From leading virtual dealer meetings to conducting quarterly dealership visits, you'll play a critical role in connecting dealers with GM resources, programs, and strategies that help them succeed. 

This position is designed as a developmental pathway to future District Sales Manager roles, offering valuable experience supporting dealer performance and field operations. Candidates should be open to future relocation opportunities as part of their career progression within GM's field organization. 

What You’ll Do  

• Manage dealer relationships through proactive daily virtual meetings and quarterly in-person dealership visits. 
• Serve as a liaison between GM, its dealerships, and additional GM partners while developing and strengthening partnerships. 
• Provide mentorship and consulting to help dealerships meet monthly and annual sales objectives. 
• Support the development and implementation of marketing programs, customer retention efforts, and related dealer initiatives. 
• Track dealership Customer Satisfaction Index (CSI) results and other customer feedback sources to identify and address deficiencies and opportunities. 
• Monitor dealership personnel training and support compliance with GM requirements and objectives. 
• Assist with dealership inventory management, including vehicle and parts ordering and inventory stabilization. 
• Analyze dealer sales, local market conditions, and competition to identify revenue opportunities. 
• Support efforts to increase sales of GM vehicles and accessory parts to customers. 
• Assist with resolving customer problems. 

 
Your Skills & Abilities (Required Qualifications)  

• Bachelor’s degree or equivalent professional experience. 
• 2+ years' experience in Sales, Marketing, or related fields with a proven track record of driving revenue growth   
• Willingness and ability to relocate in the future to pursue field-based career growth opportunities. 
• Proficiency in spreadsheet and reporting tools, including data analysis, reporting, and visualization; preferably with Google workspace  
• Demonstrated proficiency in advanced communication and presentation skills. 
• Ability to travel domestically up to 10% to dealerships, corporate training, or meeting locations. 
• Ability to work in the office up to 4x a week.  

 
What Can Give You a Competitive Advantage (Preferred Qualifications)  

• Ability to establish, grow, and maintain relationships through partnerships with dealers and other stakeholders. 
• Ability to navigate ambiguity and adapt to changing market conditions. 
• Strong time management skills to schedule work and manage progress toward annual goals and metrics. 
• Coachable mindset and willingness to learn while adapting to changing priorities. 
• Ability to manage conflict with composure and integrity. 
• Ability to use reports and data to monitor performance and identify opportunities. 

We’re turning today’s impossible into tomorrow’s standard — from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role

As a Battery Systems Lab 2nd shift Technician you will report to a 2nd shift Group Leader and specialize in the safe and orderly preparation and testing of high voltage batteries and related components within a lab environment. You will indirectly affect the quality, durability and performance of electrified vehicles and related products developed by General Motors.

This role is an ideal opportunity for a qualified individual who is interested in state-of-the-art battery technologies and testing methods and is interested in the growing field of vehicle electrification.

What You’ll Do

• Champion safe test setup for battery assemblies and related components. This includes defining and performing procedures and checks to ensure test results are delivered on time and with quality.

• Develop and manufacture special purpose instrumentation, cable and wiring assemblies, laboratory test equipment, and fixtures related to testing of battery assemblies or related components

• Perform physical duties involving large and heavy high voltage batteries including movement, shipping, and disposal

• Maintain records on work performed including data collected or analyzed

• Maintain awareness of Business Plan Deployment goals and objectives, identify and suggest relevant opportunities for improvement

• Develop, implement, and sustain workplace organization practices

• Maintain and communicate findings with engineering personnel through verbal or written means

• Recommend revisions to product or component design as needed

• Conduct or assist with Safety and Abuse testing as needed

• Conduct or assist with detailed teardown and analysis of battery cells, modules, and packs

• Conduct or assist with vibration testing including working above 6 ft and using cranes and rigging to move high voltage properties

• Able to successfully complete all required UAW GM training courses including respirator, cranes/hoist, Lockout etc.

What You’ll Need (Required Qualifications)

• Associate’s degree or equivalent in the mechanical or electrical field

• Battery systems lab or related work experience

• Thorough knowledge of complex mechanical and/or electrical concepts, including reading engineering drawings

• Working knowledge of test automation applications used in a laboratory environment

• Competence with typical office computer applications, e.g. Microsoft Word, PowerPoint, Excel, Outlook

• Strong written and oral communication skills

What Will Give you a Competitive Edge (Preferred Qualifications)

• Knowledge of high voltage battery systems and safe work practices

• Experience with laboratory test equipment, measuring and recording devices

The Role: 

As a District Manager, OnStar & Loyalty, you will serve as the primary field representative for OnStar and GM's connected services, loyalty, and subscription offerings across an assigned dealer network. You will build trusted relationships with dealer owners, managers, sales teams, and service leaders to drive adoption, customer engagement, and business performance.

In this role, you will coach and influence dealership teams to maximize the value of Connected by OnStar services, My GM Rewards, and the GM Rewards Card, helping ensure customers realize the full benefits of the GM ownership experience. Through data-driven insights, training, and consultative support, you will identify opportunities, share best practices, and drive execution that enhances dealer performance and customer loyalty.

What You’ll Do: 

• Dealer Advocacy & Relationship Management 
  • Serve as the primary advocate and trusted advisor for OnStar, GM’s software and subscription services, My GM Rewards, and GM Rewards Credit Cards within your assigned dealerships.  
  • Build strong, trust‑based relationships with dealer principals, general managers, sales leaders, and service leaders by deeply understanding their needs and consistently delivering value and follow‑through.  
  • Act as the primary liaison between OnStar, GM vehicle brands, and your assigned dealerships, ensuring alignment on priorities, messaging, and expectations. 
• Growth, Loyalty & Performance Coaching 
  • Inspire belief in OnStar and GM’s connected ecosystem – clearly communicate how our products and services elevate customer experience, deepen brand loyalty, and drive dealership profitability.  
  • Be the subject matter expert for My GM Rewards and GM Rewards Credit Cards, helping dealerships use loyalty as a powerful tool to retain and delight customers across sales, service, and ownership.  
  • Harness data and analytics to drive performance – conduct regular performance reviews (monthly and quarterly), identify opportunities, and co‑create dealer action plans that deliver continuous improvement and sustainable growth.  
  • Monitor performance at the Dealer, District, Zone, and Region levels and influence results that meet or exceed aggressive monthly, quarterly, and annual goals through coaching, training, and action planning. 
• Training, Enablement & Customer Experience 
  • Design and deliver impactful training – lead live, in‑dealership and virtual sessions with dealer leadership and front‑line teams, covering: 
    • OnStar services and benefits  
    • My GM Rewards and GM Rewards Credit Card  
    • Connected vehicle technologies (e.g., mobile app, Google Built‑In, over‑the‑air updates, and eligible features like Super Cruise)  
    • Best‑in‑class customer onboarding and delivery experiences  
  • Confidently troubleshoot issues related to OnStar, the GM mobile app, and internal platforms, ensuring teams can support customers end‑to‑end.  
  • Ensure every customer experiences the technology they’ve purchased – from setup and enrollment through ongoing engagement – so the connected experience becomes a natural part of ownership. 
• Cross‑Functional Collaboration 
  • Build strong internal partnerships across GM’s field ecosystem, including Vehicle Sales, Service & Marketing, Fleet and Commercial Sales, OnStar Digital Services, and Loyalty teams, working together as one team to serve dealers and customers.  
  • Support product and feature launches to ensure aligned marketing and messaging between GM and your dealers, creating a seamless, compelling story for customers in your district.  
  • Resolve dealer and customer satisfaction issues through appropriate channels, always protecting trust in the GM and OnStar brands. 
• Continuous Improvement & Learning 
  • Bring a “Better Never Stops” mindset to everything you do – continuously learning, adapting, and sharing best practices as our products, services, and customer expectations evolve.  
  • Use insights from the field to provide feedback on programs, tools, and processes, helping improve the way GM and OnStar support dealers and customers. 

Your Skills & Abilities (Required Qualifications)   

• 2+ years of sales, customer service, or related experience. 
• Bachelor's degree or equivalent experience. 
• Strong communication and presentation skills, with the ability to tailor messaging to diverse audiences. 
• Ability to support business needs across assigned time zones, including occasional weekends and holidays. 
• Proficiency with Google Workspace and/or Microsoft Office applications. 
• Comfortable utilizing and troubleshooting technology platforms, mobile applications, and subscription-based services. 
• Excellent written and verbal communication skills with strong attention to detail. 
• Ability to travel up to 90% within the assigned territory. 
• Valid driver's license and ability to legally operate a motor vehicle. 

What Can Give You a Competitive Advantage (Preferred Qualifications): 

• Experience supporting automotive dealerships, OEMs, or related retail operations. 
• Strong prioritization, time management, and organizational skills. 
• Demonstrated learning agility and continuous improvement mindset. 
• Self-motivated with a proven track record of delivering results. 
• Ability to thrive in a fast-paced, evolving environment. 
• Adaptable, innovative, and comfortable leading through change. 
• Strong analytical and problem-solving skills with a data-driven approach to decision-making. 

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
       • The salary range for this role is $80,700-$109,400. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
       • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
       • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Work Arrangement: This role is categorized as hybrid on NIGHT SHIFT

. This means the successful candidate is expected to report to the office three times per week or other frequency dictated by the business.

The Role

The Global Ops Coe in Manila is a developing team about world class delivery, customer support, driving a disruptive shift in strategy, structure, systems, processes, and technology across the enterprise under GM Sales Services and Marketing (SSM) function.

Global Sales Reporting is GM’s gold source for our dealer network, dealer contracting, vehicle delivery & sales, and vehicle inventory. 

Our team owns the systems that…
•    Manages our dealer distribution network – Locations, their investors, floor planning, other…
•    Stores our dealer sales & service agreement – what vehicles dealers can/cannot sell and service 
•    Communicates global sales counting – GM, our competitors, Joint Ventures, others…
•    Supports internal and external delivery & stock performance reporting – Information used within GM, sent to government entities (i.e. Securities Exchange Commission), our investors  
•    Maintains vehicle information – VINs, sales history  
•    M

anages key analytic reporting tools
•    Entry point for our customer’s data

What You’ll Do

• Provide world-class support for the Global Sales Reporting function, including hyper-care activities and user access management for multiple systems, business partner support, daily monitoring, issue management support, and on-going reporting requirements sustaining multiple regions and functions
• Develop a deep understanding of the business via documentation, training, and workshops  to understand  business and IT partner objectives, pain-points, and opportunities, and translating them into world class processes and technology enablers
• Support communication to our business users
• Develop and present training materials to a global audience
• Develop standardized reporting tools and dashboards to enhance the customer experience
• Understand business requirements and acceptance criteria to perform a logical test to prove the functionality
• Design and maintain re-usable test cases and test strings to confirm new functionality for current and future testingCreate a comprehensive test plan to test all developed requirements in a sprint and to build on for an E2E test plan
• Provide and maintain clear status in reporting during UAT for responsibility, escalation, and execution
• Prepare and maintain validation evidence of test status through screen shots and test case progression
• Collaborate across workstreams to implement data standards and process improvements leveraging digital solutions
• Utilize your process improvement, system implementation, and project management skills to innovate, deliver solutions, and contribute to global transformation activities that impact the results of the company
• Update and maintain operations process, desk procedures and other documentation
• Collaborate globally and cross-functionally with various partners across different business functions to understand business processes
• Develop user stories to document business requirements, prepare user acceptance test plans, and support technology deployments.

Your Skills & Abilities (Required Qualifications)

• A Bachelor’s or Master’s degree in Business, Finance, Accounting, Marketing, IT or related field
• 5+ years of relevant work experience in business and process transformation, consulting, and project management
• Demonstrated experience leveraging Operational Excellence, Lean Management, Design Thinking, or other structured methodologies to implement process improvements
• Demonstrated ability to work cross-functionally, in an internal or external consulting role, with proven ability to effectively execute projects and deliver results
• Detail oriented, with strong business acumen, and experience in evaluating financial measurements and project results
• Internal controls experience and knowledge
• Experience with Agile / Scrum framework
• Must have experience on Google Sheet and Google Workspace
• Must have experience on Power BI
• Must have reporting and data analytical skills
• Experience in managing end-to-end test cycles
• Willingness to work on night shift at 8pm - 5am PHT

What Will Give You A Competitive Edge (Preferred Qualifications)

• Experience with SQL, Python, Data assets or Databricks
• Experience in developing training manuals and conducting training is preferable.
• Affinity with technology and/or familiarity with analytics tools and techniques
• Highly motivated and willing to learn and take on new challenges
• Excellent written and verbal communication skills
• Proficiency in Google applications

Professional responsible for the comprehensive management of the company’s vehicle fleet, ensuring proper availability, documentation, maintenance, mobilization, and final disposition (scrap/sale) of the units.

Manages administrative processes related to used vehicle sales, registrations, transfers and warranties, as well as system activations like OnStar and the physical and documentary delivery of vehicles.

Oversee the corporate vehicle pool, ensuring inventory control, supplier performance for maintenance/parking/washing services, compliance with safety, integrity and quality standards, and execution of service workshop operational metrics.

The role focuses on ensuring excellent service to users, proper operation of the vehicle fleet, cost optimization, strong performance of service providers, and an inventory aligned with targets, while consistently managing used-vehicle and scrap sales processes as part of monthly operations to maintain appropriate inventory levels.

Job Responsibilities**

* Develop and implement CVO strategies in Colombian

* Manage supplier according to fleet requirements: fleet services, fuel, charge, maintenance services.

* Collaborate with sales, marketing, communications, GMICA and service teams to integrate CVO with the functional areas
* Monitor and report on key CVO metrics, providing actionable insights to senior management.
* Manage and optimize customer satisfaction (internal / external)

Job Qualifications**

* Demonstrated strong commercial acumen with a proven track record of driving business results.
* Bachelor's degree in business administration, Marketing, Economics, or a related field.
* Minimum of 3-5 years of experience in fleet services, preferably within the automotive industry.
* Fluent English (+Portuguese as a plus)

* Financial knowledge

What Can Give You a Competitive Edge (Preferred Qualifications)

• Experience in automotive, mobility, or fleet operations environments.

• Strong negotiation skills and continuous improvement mindset.

• High ownership, proactive attitude, and ability to work in dynamic, fast-paced environments.

Necessário:

• Ensino fundamental completo;
• Disponibilidade de horário para atuar em turnos;
• Disponibilidade para atuar na planta de Gravataí;
• Noções básicas de processos de cozinha.

Desejável:

• Ensino médico completo;
• CNH (categoria B).

Importante:

1- Anexar o seu currículo no momento da aplicação, incluir o e-mail no perfil de candidato(a).

2- Confira seu número de telefone e endereço de e-mail para garantir que estejam corretos.

Compute & Connectivity Hardware (CCH) is part of GM’s Vehicle Software & Electronics Engineering (VSEE) organization within Software & Services Engineering. The team develops the physical hardware foundation for GM’s software-defined vehicles, including compute, connectivity, networking, displays, and other electronic platforms that enable in-vehicle software, infotainment, ADAS, vehicle controls, and connected experiences.

CCH’s work spans architecture, requirements, hardware and electronics design, embedded hardware, systems integration, validation, launch, and in-market performance. Our engineers collaborate across software, systems, controls, cybersecurity, functional safety, vehicle engineering, suppliers, and manufacturing to develop reliable, production-ready hardware for GM’s vehicle portfolio.

The Role

In-vehicle electronics are at the core of the software-defined vehicle, enabling advanced compute platforms, zone and body controllers, high-speed networking, cameras, and connected technologies. We are seeking a skilled Power Electronics Engineer to join GM’s Compute & Connectivity Hardware (CCH) organization and help develop the next generation of automotive electronic control units (ECUs).

The Power Center of Excellence is responsible for delivering robust, efficient, and reliable power architectures that enable advanced vehicle functionality. In this role, you will lead the design, development, validation, and integration of power delivery solutions across GM’s ECU portfolio. You will leverage deep power electronics expertise to drive technical excellence, resolve complex challenges, and establish engineering standards that support GM’s electrification and SDV strategies.

Key Responsibilities

• Design and develop power delivery architectures, including DC-DC converters, switching regulators, and power distribution networks (PDNs) across low-voltage (12V-48V) and high-voltage (400V-800V) domains.
• Perform power simulations and analysis for efficiency, load regulation, transient response, thermal performance, and system stability using tools such as SPICE, PLECS, MATLAB, HyperLynx, or Ansys.
• Drive power integrity (PI), EMI/EMC, thermal, and reliability optimization throughout the product lifecycle.
• Select and qualify power components, including MOSFETs, controllers, inductors, capacitors, and emerging power technologies.
• Build, test, and validate power systems using lab equipment such as oscilloscopes, power analyzers, and thermal imaging tools.
• Troubleshoot and resolve complex power-related issues during development, validation, and production.
• Develop power design standards, specifications, best practices, and verification methodologies.
• Provide technical leadership, mentor engineers, and influence cross-functional hardware architecture decisions.

Required Qualifications

• Bachelor's degree in Electrical Engineering, Power Electronics, or related field.
• 5+ years of experience designing power electronics for automotive or high-performance embedded hardware systems.
• Experience developing high-voltage automotive circuitry (400V-800V), including propulsion, charging, battery management, or DC-DC power applications.
• Expertise with IGBT, SiC, and GaN switching technologies and their associated design considerations.
• Strong knowledge of power conversion topologies, power supplies, voltage regulation, and high-current power distribution.
• Experience with PCB design, layout optimization, thermal management, and power-aware board architectures.
• Proficiency with SPICE, LTspice, PLECS, MATLAB, or similar power simulation tools.
• Hands-on experience validating power electronics using oscilloscopes, power analyzers, and thermal test equipment.
• Deep understanding of power integrity, EMI/EMC, thermal design, and high-voltage safety.
• Proven ability to solve complex technical challenges and influence engineering decisions across teams.

Preferred Qualifications

• Experience with Siemens Xpedition for schematic capture, PCB design, and analysis.
• Knowledge of EMC/EMI compliance, Functional Safety (ISO 26262), DFMEA/PFMEA, reliability engineering, supplier quality, manufacturing processes, design verification, and production launch activities.
• Experience developing scalable engineering standards and best practices for automotive electronics organization

Why Join Us?

This is an opportunity to help define the future of vehicle technology. You'll collaborate with experts across hardware, software, systems, controls, and integration engineering to solve difficult technical problems at scale. Whether you're driving architecture decisions, developing cutting-edge hardware, or validating complex systems, your work will directly influence the capabilities of millions of vehicles on the road.

If you're passionate about designing high-performance hardware, tackling multidisciplinary engineering challenges, and seeing your innovations come to life in production vehicles, we'd love to have you on the team.

Wednesday, July 22, 2026

3:15 PM

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

       • The salary range for this role is (106,600 - 163,400)

 The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

       • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

       • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

#LI-JK3

The Role -

General Motors is seeking a strategic, hands-on Manager, Controller to lead GM Japan controllership, including applicable GMOD Singapore and GMOD/ACD Japan activities. The role owns Japan’s reporting and accounting integrity, partnering with leadership, GMIO Controllers, Global Business Services, Tax, Treasury, Legal, Operations, and other stakeholders. It combines technical judgment with operational leadership to deliver a strong close, controls, shared services, statutory compliance, and commercial guidance.

What You’ll Do -

Controllership and reporting

• Own monthly, quarterly, and year-end close, including entries, analysis, variance review, reporting packages, and submissions to GM headquarters and regional stakeholders.
• Ensure accurate financial statements and disclosures under US GAAP, Japan GAAP, statutory requirements, and GM policy.
• Govern trial balances, reporting, close calendars, escalation paths, chart of accounts, cost centers, profit centers, and master data.

Controls, compliance, and audit

• Own Japan’s SOX/ICFR and risk-based non-SOX controls, including reconciliations, reports, end-user computing, entries, approvals, and documentation.
• Monitor aged items, control exceptions, and audit findings; lead remediation with Financial Assurance, Internal Audit, external auditors, and regional and corporate Controllers.
• Maintain operating procedures, process documentation, and business-continuity plans for retained and outsourced activities.

Tax and statutory leadership

• Coordinate Japan corporate, consumption, local, and deferred tax activities with internal and external Tax partners.
• Oversee tax returns, tax reporting packages, statutory financial statements, transfer-pricing documentation, and the Japan local file process.
• Act as senior contact for auditors and authorities; translate local requirements into controls and ensure accurate, timely filings.

Business and commercial accounting

• Provide accounting guidance for dealer programs, incentives, deposits, revenue deductions, commercial terms, logistics, and initiatives.
• Review contracts and transactions, document conclusions, obtain approvals, and escalate significant or non-standard matters to Technical Accounting, Controllers, Tax, Legal, or other specialists.
• Oversee accounting for vehicle and product sales and purchases, reserves, freight accruals, and other Japan activities; partner cross-functionally on assumptions, forecasts, contracts, and outcomes.

Balance sheet, cash, and assets

• Lead balance-sheet governance, including reconciliations, intercompany balances, aged receivables, dealer balances and guarantees, and resolution of open items.
• Oversee fixed assets, depreciation and amortization, asset listings, and inventory and fixed-asset counts.
• Partner with Treasury and Finance leadership on cash forecasting, liquidity, intercompany funds transfers, related controls, and intercompany-loan accounting and tax requirements.

Shared services, systems, and transformation

• Lead Global Business Services and provider relationships, with clear ownership, service expectations, escalation, and performance measures.
• Use SAP and GM reporting, consolidation, reconciliation, and workflow tools to improve data, close execution, controls, and transparency.
• Drive close acceleration, automation, standardization, analytics, system and process changes, migrations, and control redesign while protecting continuity and reducing manual effort.

Leadership and talent

• Build and develop a high-performing Japan controllership team and future Finance talent; set expectations, coach team members, and foster collaboration and inclusion.
• Establish effective ways of working across Japan Finance, GMIO, Global Business Services, Tax, and global Controllers, influencing across functions and geographies.

Your Skills & Abilities (Required Qualifications)​

• Bachelor’s degree in Accounting, Finance, Business, or a related discipline.
• Significant multinational controllership, accounting, financial reporting, or audit experience, with demonstrated leadership of close, financial statements, balance-sheet governance, audits, and controls.
• Strong knowledge of US GAAP and Japan GAAP or Japan statutory accounting and tax requirements.
• Experience with SAP, reporting, consolidation, reconciliation, workflow, or journal-entry platforms.
• Experience governing shared services or outsourced accounting, influencing stakeholders, and supporting commercial initiatives through technical accounting and contract review.
• Team leadership experience; professional fluency in Japanese and English; strong judgment, analytical, communication, escalation, and decision-making skills.
• Ability to balance strategic leadership with hands-on execution.

What Will Give You a Competitive Edge (Preferred Qualifications)

• CPA, USCPA, CA, Japan CPA, or equivalent certification.
• Automotive, mobility, manufacturing, distribution, or dealer-industry experience.
• Japan tax or statutory reporting and finance transformation, automation, accelerated close, migration, data governance, or analytics experience.

General Motors Customer Care & Aftersales (CCA) is seeking an experienced and analytical Demand Forecasting Analyst to support its Control Tower operation, providing centralized monitoring, rapid assessment, and forecast decision-making for critical, high-visibility service parts. This role will identify emerging demand, supply, inventory, quality, and operational risks; prioritize issues based on business and customer impact; and coordinate timely cross-functional actions through resolution.

This role serves as a key link between forecasting, inventory planning, supplier management, logistics, and operations. The successful candidate will translate customer demand signals, supply chain challenges, and business risks into actionable forecast decisions that support customer service, inventory health, and supply continuity.

Success in this role requires strong business judgment, the ability to make decisions in ambiguous situations, and a sense of urgency when managing issues that require immediate action. The individual will serve as a forecasting advocate across the organization, communicating impacts, recommendations, and required actions while building alignment among cross-functional stakeholders.

What You’ll Do   

• Own forecasting decisions for critical service parts and emerging issues impacted by supply chain risks, changing demand patterns, and operational challenges.
• Translate customer demand signals, inventory conditions, supplier constraints, and business risks into actionable forecast strategies.

• Monitor critical service parts and emerging exceptions, assess potential business and customer impact, and prioritize issues requiring immediate action.

• Coordinate immediate cross-functional recovery actions, partnering with inventory planning, supplier management, logistics, purchasing, operations, engineering, and other business teams to develop effective solutions.

• Communicate findings, business impacts, recommendations, and next steps to stakeholders and leadership; escalate unresolved risks; and follow up on issues through resolution.
• Act as the central forecasting point of contact for critical part disruptions, maintaining visibility of forecast decisions, business impacts, required actions, accountable owners, and issue status through resolution.

• Serve as the forecasting advocate in cross-functional meetings and business reviews.
• Investigate forecast variances, demand shifts, and emerging trends to identify root causes and corrective actions.
• Drive continuous improvement through innovative thinking, challenging existing processes, and developing tailored solutions for complex business problems.

Your Skills & Abilities (Required Qualifications)    

• Bachelor's Degree in Supply Chain Management, Business, Engineering, Economics, Statistics, Data Analytics, Information Systems, or a related field, or equivalent combination of education and relevant work experience.
• 5+ years of experience in demand forecasting, demand planning, supply planning, inventory planning, inventory management, materials management, production planning, operations planning, Sales & Operations Planning (S&OP), purchasing, procurement, logistics, supplier management, supply chain analytics, business analytics, customer fulfillment, or similar analytical supply chain roles.
• Strong analytical, problem-solving, and decision-making skills.
• Demonstrated ability to work independently and manage complex business issues.
• Experience leading and influencing teams while collaborating across multiple functions.

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Experience working with large datasets and analytical tools (Python, SQL, Google Workspace, etc.).
• Service-parts, aftermarket, inventory-risk, backorder, or supply-constraint experience.
• Maestro, Kinaxis, SAP IBP, Blue Yonder, or similar forecasting/planning platforms
• Power BI, Tableau, Spotfire business visualization tools creation / management
• Tidal, KNIME, or equivalent Extract Transform Load (ETL) workflow automation tool.
  

The Role

We are seeking an Program Engineering Management Specialist to lead global product developments in South America, aligned with GM’s business and strategic view. This role will provide Engineering Launch leadership at the assembly plant and drive cross-functional engineering programs, closely working with product development, as well collaborating with studio, manufacturing, quality, marketing, and other areas to deliver innovative solutions under resource constraints.

The ideal candidate is a strategic thinker with strong leadership and communication skills, capable of navigating complex environments and influencing stakeholders at all levels.

What You’ll Do

Strategic Program Leadership

• Lead complex, cross-functional engineering programs critical to business success.
• Define program scope, governance, and execution plans.
• Align program goals with organizational strategy and product development timelines.
• Knowledge in automotive industry development (product and manufacturing process)

Innovation & Ideation

• Promote a culture of continuous innovation and improvement.
• Challenge the status quo and propose creative, resource-efficient solutions.

Stakeholder Engagement

• Influence and align senior leaders, studio, marketing, and engineering teams.
• Facilitate decision-making across diverse functions and regions.

Execution Excellence

• Manage program budgets, schedules, and resource allocation.
• Track progress, mitigate risks, and resolve issues proactively.
• Ensure compliance with internal policies and regulatory standards.

Communication & Reporting

• Provide clear, concise updates to leadership on milestones, risks, and outcomes.
• Document lessons learned and shared best practices across teams.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in engineering
• Proven experience in program/ project engineering management.
• Strong analytical, problem-solving, and strategic thinking skills.
• Excellent interpersonal and communication abilities.
• Demonstrated ability to lead through influence and build cross-functional alignment.
• Fluent in English (written and spoken).

What Will Give You A Competitive Edge (Preferred Qualifications)

• Experience in automotive product/systems development and vehicle program execution, including launch readiness.
• Experience collaborating with global, cross-functional teams.
• Familiarity with program management tools and methods for tracking timing, cost, quality, and risks.
• Postgraduate degree or certification in Project Management, Engineering Management, or related fields.

#LI-PR

We’re turning today’s impossible into tomorrow’s standard — from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role

The Lab Quality Engineer is a recognized technical contributor and resource in Engine Dyno Testing. The position requires the ability to address the broadest and most complex problems.  

What You’ll Do

• Provide guidance to the engineering team for the instrumentation, equipment and software required for compliant testing

• Provide guidance and support to laboratory operations and quality teams to relative to the processes and procedures required to ensure compliant testing

• Validate compliance of the measurement instrumentation, diagnostics and calibrations

• Validate compliance of the test procedure and data collected for each required test or test sequence

• Collaborate with teams to solve problems, improve FTQ

• Collaborate with teams to develop tools and processes to improve efficiency

• Lead innovation activities in the Quality Department

• Complete Quality systems related activities

• Train team members on tools and processes

• Maintain documents related to Standard Work for projects

• Review data and perform statistical analysis

• Maintain status of department, projects, and Business Plan Deployment related tasks

• Maintain quality reports related to laboratory and operations, issuing monthly reports for status

• Perform data acquisition and database management using various PC computer software packages and keep records of status and changes

• Refer to the employee training documents maintained and held by the supervisor for specifics as to required job training

Your Skills & Abilities (Required Qualifications)

• Bachelors Degree - Engineering degree preferred, other fields of study combined with appropriate experience may be considered

• Red X, OPEX, DFSS certifications

• Working knowledge of automotive vehicle systems

• Knowledge of and application of statistical methods if applying data analysis

• Working knowledge of lean engineering / quality systems and strong critical thinking skills

• People skills to work effectively with others including global teams and strong oral/written communication skills to effectively interface with GPG leadership

Preferred Skills

• Data and analytics experience: Three or more years in data analytics, data engineering, database development, predictive modeling, or a related field; bachelor’s degree or equivalent practical experience.

• Databricks and BI expertise: Advanced hands-on experience with Databricks and Power BI, including production workloads, large datasets, data warehousing, troubleshooting, and performance optimization; familiarity with Jira Cloud, Immuta, or Atlan is a plus.

• Data engineering and AI/ML: Strong SQL and Python skills with experience in data transformation, reconciliation, predictive modeling, forecasting, regression analysis, machine learning, and developing or deploying AI/ML models and agents.

• Governance and solution delivery: Practical experience with data quality, metadata, lineage, stewardship, controlled access, system dependencies, testing, version control, and translating business needs into reliable data solutions.

• Architecture and operational insight: Experience designing data products, lakehouses or warehouses, APIs, workflows, or integrations; automotive, engineering, laboratory, manufacturing, DFSS, or related operational experience is preferred. Relevant Databricks, Power BI, cloud, data engineering, or AI/ML certifications are a plus. 

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role:

In this role, you will be responsible for leading architectural development, technical execution, and mentoring of engineers conducting safety simulation for a major program and for developing integration solutions to meet vehicle requirements.

What You'll Do (Responsibilities):

• Provide leadership in early program phases to CIT/Creative design for packaging solutions to meet safety and PCEI requirements.
• Optimize, coordinate and align TKV selections and VVA deliverables to comprehend program bandwidth, in coordination with Safety PTL / VPIM.
• Develop safety strategies for architectural development in coordination with VPOs, VPIMs, and PTLs
• Provide technical leadership to Safety CAE engineers conduction safety simulations for vehicle programs and participate in problem resolution.
• Establish plans to address non-sync and unplanned work in the context of program bandwidth
• Develop AUROS and support analytical PRTS issues on the architecture and coordinate with PTL.
• Maintain responsibility for analytical validation plan for all vehicles in the architecture in collaboration with safety PTL/VPIM/PVE.
• GMNA Safety CAE single point of contact for Global CAE teams that have shared responsibility for the architecture.
• Proactive coordination of Safety CAE integration issues across the architecture with other CAE areas and SMTs.
• Provides architecture related guidance to the team on program specific issues.
• Ensure closed loop learning from AVD to launch.  Provide continuity during the VDP.
• Responsible for overall quality, on-time deliverables and application of lessons learned on all vehicles in the architecture.
• Identity opportunities to improve the accuracy and predictability of safety simulation and actively participate in GSO forums to share learnings.
• Seek to optimize the use of hardware in all build phases on all vehicles in the architecture.
• Keep up to date with the latest CAE tools/trends inside GM and across the industry and maintain industry leading CAE skills.
• Actively participate in Product Development Teams (PDT), Safety Performance Integration Teams (PIT), and Vehicle Performance Integration Teams (VPIT).
• Ensure that all projects are executed with quality and within allocated timeframes.
• Interpret, document, and communicate results to PDTs, PITs, VPITs, and other customers.
• Mentor other team members.
• Coordinate the Safety Master Model build and release for the architecture (Model SOR preparation, Weld tour review, model queries, Master Model checklist feedback to TCS)
• Provide performance into SORs for relevant subsystems.
• Support MDO and SPIO activities/strategy.

Your Skills & Abilities (Required Qualifications):

• BS in Mechanical, Aerospace or Biomechanics Engineering or similar disciplines
• 5+ years industry experience in safety and crashworthiness integration and CAE activities, using and leading with CAE methods
• Knowledgeable in vehicle crashworthiness and RESS protection
• Ability to drive early design using simulation
• Proficient in front/side/rear vehicle crashworthiness
• Expert Proficiency in Safety CAE Tools such as LS-Dyna, Primer, MetaPost, ANSA, Hyperview, Animator, LS PrePost, LS-OPT
• Knowledge of Global Safety Regulatory, and Consumer Metrics
• Abilities to transfer technologies into applications.
• Demonstrated effectiveness and work experience within program teams.
• Demonstrated ability with safety master model coordination, development and release process
• Stays current with, and anticipates, technical trends and advancements
• Global project experience with demonstrated ability to interact with global partners on a continual basis
• Knowledge of Federal Motor Vehicle Safety Standards (FMVSS)

What Will Give You a Competitive Edge (Preferred Qualifications):

• Master’s or PhD in Engineering, Physics or Math
• Experience in virtual CAE and physical testing for automotive structures crashworthiness
• ANSA and LS-DYNA experience

#LI-KE2

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

GM's Global Product Safety, Systems and Certification (GPSSC) organization is seeking a Safety Performance Integration Engineer for Structure Performance to help make our vision of zero crashes, zero emissions, and zero congestion a reality.

The Role

• As the Safety Performance Integration Engineer, you will work on development and validation of vehicle crash safety systems on future vehicle programs.
• Hold responsibility for crashworthiness development of vehicle structure for GM Vehicle Programs.
• Support engineering projects by demonstrating initiative, creativity, independent judgment, and project management throughout the vehicle development process.  
• Synthesize physical and virtual test results with respect to safety technical requirements.
• Work with global teams in a collaborative environment.
• Provide technical direction while working with multiple functional groups.​

What You’ll Do

• Understand and apply GM Safety Computer Aided Engineering (CAE) standard work procedures for delivering quality models and simulation results.
• Use CAE to lead the vehicle design, while balancing all applicable Global Safety Requirements
• Perform CAE simulations to evaluate full vehicle crashworthiness performance for high-speed Frontal, Side, and/or Rear impact load cases using LS-DYNA software.
• Generate feasible and timely vehicle design recommendations and technical solutions to meet safety performance targets as documented in the Vehicle Technical Specifications (VTS) and achieve balance safety performance which also account for the results of crash simulations for the major safety load cases.
• Work with engineering functions, program teams, suppliers, manufacturing, and others to implement design changes as required
• Use advanced CAE tools and methods (Variation Study/DOE/DFSS/MDO) to optimize the structural designs and improve structural efficiency
• Physical safety test support at the Milford Vehicle Proving Grounds including test requests, test, post-test teardowns, interpretation of results, issue resolution follow-through, and comparison of CAE to test results.
• Present performance status at appropriate forums on regular basis.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Engineering, Mechanical preferred, or related field of study
• 4+ years of combined experience in application in virtual CAE, CAE design, and/or physical testing relating to vehicle development, particularly with LS-DYNA
• Willingness to learn new skills and adapt expeditiously
• Demonstrated ability to work independently and with others
• High level of analytical ability to solve challenging problems and to integrate complex systems
• Knowledge of statistical and optimization tools and techniques

What Will Give You A Competitive Edge (Preferred qualifications)

• Master’s or PhD in Engineering, Physics or Math
• Experience in virtual CAE and physical testing for automotive structures crashworthiness
• Knowledge of Federal Motor Vehicle Safety Standards (FMVSS)
• Experience with ANSA
• Working knowledge of Unigraphics, TeamCenter, and VisMockup

#LI-KE2

The Electrode Quality Engineer will be a key member of the quality team developing and industrializing next‑generation battery cell electrodes at General Motors’ Battery Cell Development Center (BCDC). This role is responsible for establishing and improving quality systems for electrode (anode & cathode) manufacturing processes to ensure safe, stable, and capable production of high‑performance battery cells.

You will collaborate closely with all teams at the BCDC including process engineering, manufacturing engineering, operations, supplier quality, and product engineering to define critical quality requirements and develop robust controls in the electrode process by driving structured problem solving from initial pilot builds through scale‑up.

Key Responsibilities:

• Own quality for the electrode process including defining critical quality characteristics and quality measurement controls for the electrode area.
• Develop and maintain quality documentation (e.g. process flow diagrams, control plans, and risk analyses) for electrode manufacturing.
• Lead data‑driven process monitoring using statistical process control to detect trends, improve stability, and reduce overall variation in the electrode process.
• Provide traceability for downstream cell safety, performance, and quality by linking electrode defects to finished cell outcomes.
• Plan and execute measurement system studies (e.g. GR&R, MSA) for key electrode attributes.
• Lead structured problem solving for yield, scrap, and performance issues related to electrode manufacturing.
• Partner with manufacturing and process engineers to validate in-line and off‑line inspection systems.
• Analyze inline production data and offline quality checks to connect electrode quality metrics to downstream cell performance and reliability metrics.
• Maintain quality records and ensure quality documentation is updated after changes, nonconformances, corrective actions, and lessons learned.
• Use quality software tools (e.g. JMP, Minitab) to analyze quality data and communicate quality decisions clearly to upper management.
• Support new material introductions into the electrode process by reviewing product acceptance criteria from drawing parameters and confirming that quality checks are in place.
• Develop sampling plans and test strategies for new electrode builds that include state-of-the-art lithium-ion battery chemistries as well as foreign material and metal contamination controls.
• Support offline sampling strategies including gauge setup and readiness for new battery chemistry campaigns. 
• Lead quality readiness reviews for new equipment, new inspection methods, process changes, pilot builds, technology transfers, and scale-up activities.
• Support supplier quality activities and new supplier evaluations for electrode raw materials.
• Train and coach technicians and operators on critical quality characteristics, inspection methods, and defect recognition for electrode processes.
• Champion safe materials handling and testing practices in the electrode process.
• Contribute to continuous improvement initiatives focused on yield, cost, and rate capabilities of the electrode manufacturing processes.

Required Qualifications:

• Bachelor’s degree in Chemical Engineering, Materials Science and Engineering, or related engineering discipline.
• 3+ years of experience in quality engineering or closely related engineering role in a manufacturing environment.
• Demonstrated experience with materials sampling, testing, and chemical process operations.
• Demonstrated ownership of quality responsibilities, including nonconforming-material control, root-cause analysis, corrective action implementation, control plan management, risk analysis reviews (FMEA), sampling inspection/test plans, and maintenance of quality records.
• Working knowledge of core quality engineering tools (SPC, Pareto, etc.)  and ISO 9001/IATF 16949 principles.
• Experience using data analysis tools (e.g., Excel, JMP, Minitab, or similar) to analyze process and quality data to communicate findings.
• Proven ability to lead cross‑functional problem solving in a manufacturing or pilot‑line setting.
• Effective communication skills, both written and verbal, with the ability to translate technical findings into clear recommendations for diverse stakeholders.
• Experience with safe handling of chemical and powder materials.

Preferred Qualifications:

• Experience in a quality engineering role focused on electrode quality on large form factor equipment.
• Direct experience in electrode manufacturing testing for slurries and coated materials in a roll-to-roll processing environment.
• Understanding of how electrode quality characteristics impact cell performance.
• Familiarity with quality characterization techniques used for electrode and materials evaluation (e.g., particle size analysis, moisture analysis, microscopy, rheology).
• Prior experience developing electrode quality measurement systems in a new plant, pilot line, or technology start‑up environment.
• Experience with material traceability from supplier to process introduction in an electrode quality engineering position.
• Working knowledge of AIAG automotive core tools (APQP, PPAP, FMEA, MSA, SPC).
• Demonstrated ability to work effectively in a fast‑paced environment, balancing hands‑on floor presence with analytical and documentation work.

Work Environment:

• Role is based at GM’s Battery Cell Development Center (BCDC) at the GM Global Technical Center.
• Requires regular on‑site presence in lab and pilot‑line areas, with appropriate personal protective equipment.
• Occasional travel may be required to production plants, suppliers, and partner facilities.
• This role may be eligible for relocation services.

Sponsorship:

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

The Role:  

Lead and develop a high-performing team supporting GM’s dealer network in driving parts revenue, customer-pay repair orders, customer retention, tools and equipment utilization, technician training, and warranty administration. You will also play a critical role in identifying product quality concerns and enhancing customer satisfaction for our premium brand. 

What You'll Do  

• Lead, coach, and develop a team of Sales and Service Professionals to execute strategic initiatives, achieve performance goals, and exemplify GM’s core values and Cadillac’s premium brand standards. 
• Model GM’s core beliefs and establish team norms that foster productivity, inclusivity, and respect for individuality and diversity. 
• Build a customer-centric culture focused on empowerment, accountability, and results while driving continuous improvement and change management. 
• Take full ownership of Zone revenue, customer retention, and overall customer experience. 
• Stay current on developments within GM and the broader automotive industry; proactively assess and adapt processes, systems, and tools as needed. 
• Analyze dealer marketing and merchandising strategies; provide actionable recommendations to increase service lane traffic and profitability. 
• Oversee execution of business plans and implement countermeasures to address challenges and promote innovation. 
• Monitor and achieve key performance indicators (KPIs), including: Sales Reporting Tool (SRT), objectives Net Promoter Score (NPS), Customer Retention, Service Training Standards (STS) compliance, EV Training & Compliance, Workplace of Choice, Engagement, Direct Leaders Index, Participation 
• Demonstrate deep understanding of Service & Parts Operations, including: Automotive Parts and Service Systems Dealer Operating Reports & Fixed Ops Analysis Tools Profit department structures and interdependencies Consultative selling techniques 

Your Skills & Abilities (Required Qualifications)   

• Bachelor’s Degree or equivalent professional experience. 
• 7+ years of experience in Sales, Service, or Operations with a proven track record of driving revenue growth. 
• 3+ years of experience leading, coaching, and developing a team preferred.   
• Strong automotive industry knowledge and business acumen, including service operations, warranty processes, and customer experience management.   
• Ability to travel up to 50%.  
• Proficiency in Microsoft Excel, including data analysis, reporting, and visualization tools. 

What Can Give You a Competitive Edge (Preferred Qualifications)   

• Excellent oral and written communication skills, with the ability to inform and persuade effectively. 
• Leverage data analytics tools to extract actionable insights that drive revenue growth, optimize operational performance, and elevate the customer experience. 
• Effectively Inspires & Motivates Others to Achieve High Performance  
• Successfully builds and maintains strong internal/external relationships  
• Successfully Drives for Results & Drives Change Management  
• Effectively demonstrates Informative and Persuasive communication skills  
• Effectively works autonomously with strong Time Management & Prioritization Skills  
• Effective With Timely Problem Solving   
• Consistently Demonstrates Innovation and Creativity   
• Consistently Demonstrates Initiative & Adaptability   
• Strong Customer Orientation 

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
       • The salary range for this role is $149,500-199,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
       • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
       • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Hybrid: This internship is categorized as on-site. The selected intern is expected to report to the office 3 days a week. 

Location:  

Sunnyvale, CA 

Seattle, WA

About the Team

The Onboard Autonomy team develops the real-time intelligence that enables autonomous vehicles to perceive their surroundings, plan safe and comfortable behavior, and operate reliably on the vehicle. Our work spans sensor fusion, structured perception, trajectory generation, ML planning, local planning, controls, guardrails, evaluation, and vehicle integration.

We combine machine learning, robotics, optimization, and software engineering to build production-oriented autonomy systems that operate in real time and handle challenging driving scenarios.

About the Role

As an Onboard Autonomy Intern, you will contribute to a focused research or engineering project within the onboard driving stack. You will work with experienced researchers and engineers to prototype, evaluate, and improve algorithms or software using vehicle data, simulation, or production-oriented environments.

Potential focus areas include:

• Sensor Encoders and Fusion: Convert camera, lidar, radar, and other sensor inputs into useful representations for autonomy.
• Structured Perception: Improve object tracking, online maps, scene understanding, and long-tail scenario handling.
• ML Planning and Trajectory Generation: Predict behavior, generate trajectories, and select safe driving actions.
• Local Planning and Controls: Balance collision avoidance, traffic rules, vehicle dynamics, kinematic feasibility, and passenger comfort.
• Guardrails and Integration: Validate and integrate autonomy components across vehicle platforms to support safe, reliable operation.

What You’ll Do

• Prototype and evaluate algorithms for perception, prediction, planning, trajectory generation, controls, or integration.
• Work with real-world driving data and simulation to measure performance and investigate failures.
• Build data-processing, visualization, testing, and evaluation tools.
• Contribute to production-quality software through design reviews, code reviews, automated testing, continuous integration, and documentation.
• Analyze results, improve system performance, collaborate across disciplines, and present technical findings.

Required Qualifications

• Currently pursuing a Ph.D. in Computer Science, Robotics, Electrical or Mechanical Engineering, Controls, Machine Learning, or a related STEM field.
• Experience through coursework, research, projects, or professional work in machine learning, computer vision, robotics, controls, optimization, or autonomous systems.
• Strong Python skills and experience with C++ or another systems programming language.
• Strong analytical, problem-solving, communication, and collaboration skills.
• Availability to work full-time, 40 hours per week, during the internship.

Preferred Qualifications

• Experience with autonomous vehicles, ADAS, robotics, or ROS.
• Experience with PyTorch, TensorFlow, JAX, deep learning, transformers, multimodal learning, reinforcement learning, imitation learning, or trajectory prediction.
• Background in vehicle dynamics, feedback control, trajectory optimization, motion planning, safety-critical software, simulation, closed-loop evaluation, sensor data, large-scale datasets, or distributed computing.
• Intent to return to a degree program after the internship or co-op.
• Must be graduating between December 2027 and June 2028

Compensation:  

• The monthly salary range for this role is $14,600 per month  
• GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program. 

What You’ll Get from Us

• Paid U.S. GM holidays.
• GM Family First Vehicle Discount Program.
• Potential for growth within GM based on performance and business needs.
• Intern events and opportunities to network with company leaders and peers.
• Mentorship and hands-on experience with the data and ML foundations behind autonomy

The General Motors Manufacturing Group is seeking to identify highly motivated and qualified individuals for current and potential future opportunities as a Group Leader. In anticipation of these openings becoming available, we welcome you to apply so we can begin the pre-screening and interview process.

The Role:

As a Group Leader in Production, Quality, or Global Supply Chain (GSC), you will be responsible for leading teams of employees or technical personnel to drive operational excellence across manufacturing processes. This includes managing daily operations, developing and improving business processes, and fostering a culture of teamwork and collaboration.

In this role, you may oversee production activities, quality assurance, inspection, problem-solving, and GM Built-in-Quality initiatives. You will be expected to apply independent judgment within the framework of Global Manufacturing Systems, with a strong focus on Safety, People, Quality, Responsiveness, Cost, and Environment (SPQRCE).

What You'll Do (Responsibilities):

• Analyze and respond promptly to the manufacturing daily plan, making necessary adjustments to operations as required

• Manage multiple tasks in a fast-paced environment with competing priorities

• Possess the experience to manage change and navigate ambiguity

• Drive accountability through people and processes which may require difficult conversations

Specific physical requirements of the position include the ability to:

• Work in a loud manufacturing environment that may not be climate controlled (conditions can be hot or cold)

• Possess good physical stamina and coordination to frequently and repetitively:

  • Bend, twist, kneel, crouch and reach to perform work

  • Lift or carry materials weighing up to 15 lbs. and periodically carry or lift materials weighing up to 40 lbs.

  • Walk and stand for prolonged periods of time

  • Occasionally sit, climb (including ladders and lifts) and drive vehicles and equipment

• Read standardized work instructions, operate machines and tools, and perform quality inspections

• Promptly detect and respond to safety instructions, alarms, and signals

• Wear personal protective equipment, for example: safety glasses, gloves, hats, ear plugs, and safety shoes

Your Skills and Abilities (Required Qualifications):

• One year of direct supervisory experience or at least 5 months as an internal GM per diem group leader

• Experience managing, leading people, and addressing performance concerns

• Experience solving complex problems and working in a fast-paced environment

• Strong interpersonal skills, experience managing conflict, and decision making

• Demonstrate a high analytical ability to solve complex problems

• Basic computer proficiency (i.e. Microsoft Word, typing, email etc.)

• Must be willing to work rotating shifts

• Must be available and willing to regularly work weekends to meet production demands, including approximately two weekends per month

• 18 years of age or older

• High School Diploma or equivalent

What Can Give You a Competitive Edge (Preferred Qualifications):

• Knowledge of Continuous Improvement Processes (CIP)

• Proficient in Throughput Improvement Process (TIP)

• Advanced understanding of manufacturing and assembly processes

• Experience supervising employees in a union environment

• Supply Chain or Quality Experience

• Experience implementing Built-in-Quality Initiatives

• Red X & DFSS Certification

• Lean Manufacturing experience

• Knowledge of timekeeping systems

The Role:

General Motors is leading the transformation of the automotive industry through electrification, central compute, and autonomous technologies. We are building a high-energy team of Senior DFx (Design for Manufacturing, Test, and Tooling) engineers to serve as the critical link between internal design teams and contract manufacturers for next-generation ECUs.

This team will establish and drive DFx processes for in-house GM designs, ensuring strong alignment between design and manufacturing. They will bring early insight into manufacturing, assembly, testing, and tooling—embedding best practices, lessons learned, and critical requirements into module development.

We are seeking a high-performing Staff DFx Engineer to represent the voice of manufacturing, testing, and tooling across GM’s electronics development. This role focuses on circuit board design, population, test, and assembly, working closely with both internal design teams and external manufacturing partners.

You will lead DFx strategy and execution for electrical controllers supporting GM’s Software Defined Vehicle (SDV) architecture, while building strong, cross-functional partnerships to ensure successful product delivery.

Responsibilities of the Design for Manufacturing, Design for Testing, Tooling Engineer include:

• Work with cross functional teams for the selection of test point location, in-circuit board coverage, functional test requirements from design teams, and programming requirements from design/CM teams.
• Expertise in process from bare board to fully populated, soldered, tested PCB
• Expertise in Solder Paste/Stencil process and materials, SPI Solder process Inspection, Acceptance Criteria, SMD placement, line loading, AOI, Reflow profile, Intermetallic and PCB surface finish
• Perform design calculations, GD&T and tolerance stacks required for tooling and test fixtures
• Create 3D CAD, 2D CAD & lead CAD reviews with stakeholders.
• Develop analysis and test plans for new designs, perform proof of concept tests and analysis.
• Lead prototyping and testing, analyze test data, and make necessary adjustments to manufacturing process/materials, in-plant testing and tooling designs.
• Work with electrical engineers and PCBA designers to integrate components into test fixtures for in-circuit, functional, and in-process SW programming.
• Build partnerships with functional peers internally within GM and externally at CM suppliers to align on ECU design per development cycles.
• Develop virtualization technologies that help accelerate and de-risk product development.
• Communicate Contract Manufacturing progress and risks to stakeholders and customers.
• Drive Cross CM strategies for commonality within GM’s in-house designs.
• Solid organizational skills and the ability to manage multiple projects simultaneously.

Your Skills & Abilities (Required Qualifications)

• BS in Electrical or Mechanical Engineering or equivalent engineering degree
• 7+ years in-plant electronic control module manufacturing experience leading a cross functional team of Design/Manufacturing engineers for best in class DFM and DFT designs
• Collaborative, team centered experience which leads to on-time delivery of quality products
• Exceptional collaboration and teamwork skills; demonstrated ability for working across functional and organizational boundaries.
• Proficiency in 3D CAD modeling, 2D drawings, schematic designs, test SW development, tolerance analysis, design for manufacturability, and assembly.
• Strong analytical skills and engineering fundamentals in manufacturing, testing, tooling of automotive electronic modules.
• Hands-on experience engaging with electronics manufacturers.

What Will Give You A Competitive Edge (Preferred Skills)

• Master’s degree/PhD in Electrical or Mechanical Engineering
• Mechanical design of PCBAs, computers, or automotive electronics
• Experience establishing a DFx organization within an automotive OEM.
• Industry leading expertise with aspects of manufacturing including:  Designed SMT placement equipment, solder reflow equipment, Developed AOI, SPI, Assembly line transfer equipment.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.
       • The salary range for this role is (159,400 to 245,000). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
       • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
       • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

#LI-JK3

The Role

General Motors is seeking a highly skilled and motivated Engine Performance and Calibration 3D CFD Analyst to join our Engine Performance and Calibration team. This role is critical in shaping the future of internal combustion engine (ICE) technology through high-fidelity computational fluid dynamics (CFD) simulations. The ideal candidate will have deep expertise in engine combustion modeling, fuel injection systems, and emissions control, and will contribute to the design and optimization of next-generation gasoline and diesel combustion chambers.

What You'll Do

• Design and optimize combustion chamber geometries for improved efficiency, power output, and emissions performance.
• Simulate and interpret combustion processes, heat transfer, cold start behavior, and catalyst heating strategies.
• Provide component-level and/or system-level design recommendations to Design Responsible Engineers based on interpretation of analysis results
• Exercise analytical models for fuel preparation and mixture motion analysis including equivalence ratio and wall wetting
• Model and analyze fuel injector behavior, spray atomization, spray-wall interaction, and mixture preparation.
• Exercise analytical models for in-cylinder combustion analysis using 3D CFD codes such as Star-CD, Converge, AVL-Fire, or in-house proprietary software 
• Enhance current standard analysis practices and/or tools to improve prediction fidelity and/or execution speed
• Participate in product design and development teams and regularly present analysis results to engineering peers and management
• Document analysis objectives, conclusions, results, and assumptions using a standard report template
• Cooperatively work with test engineers to enhance laboratory procedures to support the development of first-time capable analysis techniques
• Stays abreast of new technology and competitive products
• Collaborate with cross-functional teams including engine design, calibration, controls, and emissions compliance.
• Validate simulation results with experimental data and iterate designs accordingly.
• Document and present findings to technical leadership and project stakeholders.

Your Skills & Abilities (Required Qualifications)

• 5+ years experience with compressible CFD analysis of powertrain-related systems
• BS in Mechanical Engineering, Aerospace Engineering or a related field with a focus on internal combustion engines or fluid dynamics
• 3+ years experience in CFD software (CONVERGE, STAR-CD, STAR-CCM+ ICS or similar) for gasoline or diesel mixture preparation / combustion simulation
• Highly proficient with ProStar, ICEM, Hypermesh, Tgrid, or equivalent CFD meshing software
• Highly proficient with Converge, Siemens CCM+ In-Cylinder Solution, StarCD, AVL Fire, or equivalent CFD software
• Highly proficient with Ensight, ProStar or equivalent CFD post-processing software

What Will Give You A Competitive Edge (Preferred Qualifications)

• MS or PhD in Mechanical Engineering
• Proficient in programming (Java, MATLAB, Python), workflow automation, and customization of tools surrounding main vendor software
• Proficient in application of machine learning, data driven modeling techniques in context of engine simulations
• Proficient with GT-Power, WAVE, AVL Boost, or equivalent 1D engine simulation software
• Proficient engine testing, data acquisition and calibration tools (AVL Concerto, Indicom, ETAS)

This job may be eligible for relocation benefits

#LI-LG2

• Build and operate the telemetry data platform that powers connected vehicle analytics, AI, quality engineering, and software-defined vehicle innovation at global scale
• Build and operate large-scale telemetry pipelines that ingest, process, and publish vehicle data at enterprise scale
• Develop batch and streaming solutions using Databricks, Spark, Event Hubs, and cloud-native technologies
• Create reliable, production-grade data products that support analytics, AI, engineering, and operational decision-making
• Implement data quality, validation, monitoring, and observability capabilities that proactively identify issues before they impact consumers
• Design systems that are scalable, resilient, cost-efficient, and easy to operate
• Build tooling and frameworks that make it easier for teams to develop and deploy trusted data assets
• Troubleshoot performance bottlenecks and optimize large-scale distributed workloads
• Improve platform reliability through automation, CI/CD, Infrastructure as Code, and engineering best practices
• Partner with product, analytics, AI, and engineering teams to deliver trusted telemetry data at scale
• Help raise the engineering bar through mentorship, technical leadership, and operational excellence

• How do we reliably process billions of telemetry events every day?
• How do we detect data quality issues before business users find them?
• How do we make telemetry data easier to trust, discover, and reuse?
• How do we scale streaming and batch workloads without runaway cloud costs?
• How do we provide observability into thousands of pipelines and data products?
• How do we make telemetry data available to analytics, AI, and engineering teams faster and more reliably?

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related technical field
• 5+ years of experience building large-scale data platforms, distributed systems, or data engineering solutions
• Strong hands-on experience with Spark and distributed data processing
• Strong programming skills in Python or Scala
• Expert-level SQL skills
• Experience with Databricks or similar large-scale analytical platforms
• Experience building cloud-native solutions in Azure, AWS, or GCP
• Experience with streaming technologies such as Event Hubs, Kafka, Pulsar, or similar platforms
• Experience building and operating highly reliable production data pipelines
• Experience implementing observability, monitoring, alerting, and operational support capabilities
• Experience designing and enforcing data quality controls, validation frameworks, and reliability standards
• Experience optimizing distributed workloads for performance, scalability, and cost efficiency
• Experience with CI/CD, Infrastructure as Code, and automation practices
• Strong troubleshooting, communication, and problem-solving skills

• Reliability
• Observability
• Data quality
• Performance
• Scalability
• Cost efficiency
• Operational excellence

As a Senior Software Engineer on the Rendering Infrastructure team, you will build the systems that turn a GPU-accelerated, physically-based sensor simulator into a production platform — one that runs reproducibly, at cluster scale, and against production-representative autonomous vehicle interfaces. This is a systems role at the boundary of rendering, simulation, perception, and distributed infrastructure. You will connect the renderer to AV software stacks and compute clusters, reproduce real sensor scheduling and vehicle timing, run many worlds concurrently on a single GPU, and make the runtime start fast and stay cheap across thousands of workers. Your work determines whether closed-loop simulation — the vehicle software in the loop with the renderer, not just offline synthetic data generation — is trustworthy and affordable: whether a run reproduces, whether synthetic sensor feeds arrive with the same timing quirks the real vehicle sees, and how many scenarios we can execute per GPU-hour. We build in modern C++ and Python on Linux, with ROS, PyTorch, CUDA, NVIDIA OptiX, NVIDIA MDL, and OpenUSD. We're looking for someone who enjoys this layer — debugging nondeterminism across a process boundary, cutting cold-start time by changing how a runtime is packaged, and reasoning about GPU memory and IPC in the same conversation.

About the Team

The Rendering Infrastructure team owns the foundational systems the broader Rendering team builds on top of: asset and scene ingestion, GPU memory and resource management, acceleration structure construction, packaging and deployment, profiling infrastructure, and the core engine abstractions of our physically-based sensor simulation system. We also own how the renderer connects to the AV stack and world simulator, as a library or a service, and how consumers configure it — what it produces, at what fidelity, and how it behaves when something goes wrong. We sit between the rendering algorithms team and everyone who consumes simulated sensor data — perception training, closed-loop validation and reinforcement learning. We care about determinism, throughput per GPU, iteration speed, and infrastructure that stays comprehensible as it scales.

Why Join Us?

Work on hard systems problems with an unusually clear definition of success — reproducibility, timing fidelity, frames per second per GPU, and worker spin-up time are all measurable, and all of them matter. Own meaningful surface area: the AV stack integration and transport layer, the sensor scheduling and timing model, multi-world rendering on a single GPU, or the runtime deployment and asset delivery path, depending on your strengths. Sit at the center of the simulation stack, where rendering, perception, and infrastructure meet, and see your work used across the organization for perception training, closed-loop simulation, and reinforcement learning. Join a team that pairs rigor — design documents, reproducibility, profiling, and regression testing — with pragmatic engineering and short feedback loops.

What You'll Do

You will own one or more of the following areas and contribute across the others, depending on your strengths and team priorities.

• Connect the renderer to AV software stacks and compute clusters — designing low-latency, high-bandwidth transport using ROS/ROS 2, shared-memory IPC, gRPC, and sockets with appropriate serialization formats, and streaming multi-sensor payloads into the autonomous vehicle stack.
• Integrate the renderer with learned driving models through Gymnasium-style environment APIs — stepping the simulation from Python, exchanging observations and actions efficiently with PyTorch-based models, and preserving deterministic execution while minimizing per-step overhead for eval and training at scale.
• Integrate the runtime with the cloud and on-premises execution environments used for large-scale closed-loop testing, continuous integration, and perception training pipelines.
• Improve and validate deterministic execution — establishing the required bit-accurate or frame-deterministic lock-step behavior across the simulation clock, dynamic physics updates, and the ray-traced renderer, and building the tooling that demonstrates a run reproduces to the agreed bar.
• Reproduce real sensor scheduling and vehicle timing — staggered camera exposures, rolling shutter behavior, LiDAR spin and packet rates, hardware clock drift, and the onboard constraints perception actually operates under, including P95/P99 compute latency, transport lag, and packet drops.
• Build perturbation mechanisms that inject timing jitter, dropped or out-of-order frames, and calibration drift in both extrinsics and intrinsics, and use them to stress-test downstream perception and sensor fusion robustness in closed-loop runs.
• Build memory-efficient multi-world and multi-scenario execution inside a single rendering process, using shared geometry and instancing — OptiX IAS/GAS, or the analogous acceleration structure hierarchies in Vulkan/DXR — so concurrent rollouts share static map geometry instead of duplicating it in GPU memory.
• Optimize GPU memory footprint, scene streaming, and execution scheduling to maximize frames per second per GPU across concurrent simulation workers.
• Improve runtime deployment and asset delivery — deterministic deployment packages (SquashFS archives, read-only container layers, memory-mapped storage) and low-overhead loaders for OpenUSD scene graphs and NVIDIA MDL materials that work against compressed, read-only filesystems without redundant decompression or copies.
• Build distributed caches for textures, precompiled OptiX/PTX shader pipelines, and prebuilt acceleration structures to eliminate cold-start compilation and redundant I/O at cluster scale.
• Profile and reduce disk, network, and memory footprints to cut worker spin-up time, binary payload size, and asset ingestion overhead.
• Partner with the 3D content and USD pipeline teams to set runtime budgets, automated validation rules, and compression workflows before assets enter deployment.
• Uphold high standards through technical design documents, code review, reproducibility and performance regression testing, and mentorship of other engineers.

What You Must Have

• Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
• 5+ years of professional software engineering experience, with a substantial portion focused on performance-critical systems software.
• Production proficiency in modern C++ (C++17/20), including performance optimization, memory management, and clean API and system design in a large codebase, plus working proficiency in Python for tooling and automation.
• Strong Linux systems programming foundation: multithreading and concurrency, memory management, IPC, and high-throughput data movement, including systems that operate across process and machine boundaries.
• Depth in at least one of the two domains this role bridges, and the interest to grow into the other:
  • Robotics or autonomous systems — the architecture and integration of perception, planning, or control components, and experience with at least one interface those systems are driven through: real-time middleware (ROS/ROS 2, DDS, custom IPC, or high-rate publish/subscribe) and / or a Gymnasium-style environment API; or
  • GPU programming through a compute or ray tracing API (CUDA, OptiX, Vulkan, DXR, or similar), with a working understanding of GPU memory and execution models.
• A track record of designing, implementing, and debugging reliable distributed systems, including the nondeterminism and failure modes that come with them.
• Experience profiling and optimizing real systems, and the instinct to measure before optimizing.
• Strong communication and collaboration skills, with the ability to work across rendering, simulation, perception, infrastructure, and content pipeline teams.

Bonus Points

Experience in one or more of the following is helpful; we do not expect any candidate to have all of it.

• Working knowledge of how autonomous driving perception stacks ingest sensor feeds — sensor scheduling, staggered exposures, rolling shutter, LiDAR packet rates, and onboard compute and transport latency budgets.
• Experience designing closed-loop simulation edge cases and perturbations: schedule jitter, dropped frames, out-of-order packets, and calibration or extrinsics drift.
• Experience with batched rendering, multi-viewport rendering, or multi-scenario execution on a single GPU using acceleration structure hierarchies and instancing (OptiX IAS/GAS, Vulkan/DXR TLAS/BLAS).
• Strength in both domains above rather than one — GPU systems, and robotics or autonomous systems — or practical depth in ray tracing and path tracing specifically (NVIDIA OptiX, Vulkan Ray Tracing, or DirectX Raytracing).
• Hands-on Linux deployment optimization: SquashFS, loop devices, memory-mapped files, zero-copy loading, container overlay layers, and cold-start reduction across compute nodes.
• Experience designing high-performance texture and shader caching systems — OptiX disk cache, Vulkan pipeline cache, or PTX distribution.
• Experience consuming OpenUSD in a C++ runtime and optimizing stage traversal and runtime memory layout.
• Familiarity with deploying and scaling containerized simulation jobs on cloud platforms (AWS, GCP) or on-premises HPC clusters.
• Exposure to autonomous vehicle or robotics simulation platforms such as NVIDIA Omniverse, Isaac Sim, DRIVE Sim, Unreal Engine, or custom in-house simulators.
• Experience supporting reinforcement learning environments or Gymnasium-style simulation interfaces as downstream consumers.
• Evidence of technical contribution through open-source rendering, simulation, or systems infrastructure work, internal platforms, publications, or other knowledge sharing.

Candidate Profile

Relevant experience may come from robotics, perception, simulation, rendering and graphics, game engines, HPC, or distributed systems infrastructure. Direct autonomous vehicle experience is not required. Successful candidates will combine strong software engineering fundamentals with practical intuition for sensor data, simulation timing, GPU execution, and distributed runtime environments.

Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

• The salary range for this role is $153,200 to $234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Hybrid/Remote

This role can be based remotely.

*This job may be eligible for relocation benefits if you are interested in relocating to the Bay Area.

Who We Are
The CAE, CAT, Battery, Materials & Validation team delivers next-generation IT software and systems solutions that support Vehicle Test Lab operations, physical validations, and proving ground activities. These capabilities enable the engineering, validation, and testing of products to meet engineering requirements, ensure compliance and certification, and fulfill government mandates.

We are seeking an experienced Senior System Engineer to join our dynamic team. In this role, you will provide technical leadership for the architecture, integration, modernization, deployment, and operational health of enterprise systems that support engineering and validation workflows. You will work across application, infrastructure, cloud, data, security, and operations disciplines to deliver reliable, scalable, and maintainable technology solutions.

The Role
The position is responsible for designing, integrating, deploying, and continuously improving production systems using repeatable industry best practices and in accordance with GM’s software development, cybersecurity, and operational methodologies. The Senior System Engineer will work hands-on across the system lifecycle, translating business and engineering needs into system requirements, architectures, infrastructure designs, implementation plans, and operational standards.

This role requires independent judgment to solve complex, non-standard problems across multiple technology domains. System engineering activities will include assessing existing platforms, designing new capabilities, modernizing legacy applications and infrastructure, migrating workloads to cloud-based environments, and improving system reliability, security, performance, scalability, and cost efficiency.

The Senior System Engineer will contribute to and lead activities including system architecture, integration, automation, infrastructure as code, software transformation, testing, security assessment, observability, production readiness, incident response, documentation, and deployment. The role will also serve as a technical resource and mentor for engineers and will influence system standards, roadmaps, and engineering practices across partner teams.

What You’ll Do

• Lead the end-to-end design and technical direction of scalable, secure, highly available systems spanning applications, cloud platforms, infrastructure, data stores, networks, integrations, and operational tooling.
• Define system requirements, architecture decisions, integration patterns, technical roadmaps, and implementation plans aligned with business, engineering, cybersecurity, and compliance objectives.
• Design and operate cloud-based systems across development, test, staging, and production environments using appropriate compute, storage, networking, database, and platform services.
• Develop and maintain infrastructure as code and deployment automation to provision consistent, repeatable, and auditable environments.
• Lead modernization and transformation of legacy software and infrastructure, including assessment, refactoring, re-platforming, migration, API enablement, service decomposition, technology-debt reduction, and retirement of obsolete components.
• Evaluate architectural trade-offs and apply appropriate synchronous, asynchronous, event-driven, batch, and service-oriented design patterns.
• Establish and improve CI/CD, release, configuration, environment-management, and change-management practices that enable safe and repeatable delivery.
• Troubleshoot complex production issues, lead root-cause analysis and corrective actions, and participate in incident response, service recovery, and post-incident reviews.
• Develop automation, scripts, utilities, and reusable system components to improve engineering productivity, operational efficiency, quality, and consistency.
• Mentor junior and mid-level engineers, promote sound engineering practices, and raise the technical bar through reviews, coaching, standards, and knowledge sharing.
• Lead small-to-medium-scale initiatives and provide technical leadership on larger programs, ensuring alignment with business and engineering goals.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, Systems Engineering, or a related field; equivalent experience may be considered.
• 7+ years of professional experience in systems engineering, platform engineering, infrastructure engineering, cloud engineering, software engineering, DevOps, SRE, or related discipline.
• Demonstrated experience owning the architecture, delivery, and operational lifecycle of complex production systems with minimal guidance.
• Strong understanding of distributed systems, system integration, networking, compute, storage, databases, APIs, authentication, authorization, and enterprise service management.
• Proficiency in front-end technologies: HTML5, CSS3, JavaScript, ReactNative, and Angular
• Strong knowledge of back-end languages such as Java, Spring Boot, Quarkus, Hibernate, JPA, and SQL
• Experience with cloud platforms such as Infrastructure as code, AWS, Microsoft Azure, or Google Cloud, including cloud networking, identity, security, compute, storage, databases, and managed services.
• Experience designing and supporting CI/CD pipelines and release automation using tools such as GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, or equivalent technologies.
• Experience with legacy application and platform modernization, including code transformation, refactoring, re-platforming, cloud migration, API modernization, monolith-to-services migration, or retirement of obsolete technologies.
• Understanding of secure software and infrastructure practices, including IAM, secrets management, encryption, vulnerability management, secure configuration, and cybersecurity controls.
• Experience working with Agile, DevOps, SRE, IT service-management, or other iterative delivery and operational methodologies.
• Experience supporting engineering, laboratory, manufacturing, validation, test, or other mission-critical technical environments is a plus.

People Skills:

• Excellent problem-solving, systems-thinking, written, verbal, and presentation skills.
• Ability to communicate complex technical concepts and trade-offs to both technical and non-technical stakeholders.
• Ability to work independently, exercise sound judgment, and make decisions in ambiguous and fast-paced environments.
• Ability to influence architecture, standards, priorities, and technical decisions across teams without relying on formal authority.
• Demonstrated ownership, accountability, initiative, and commitment to reliable customer outcomes.
• Ability to manage multiple priorities, timelines, risks, and deliverables while maintaining a focus on quality and business impact.

#LI-CK1

Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., H-1B, TN, STEM, OPT, etc.) Now or in the future.

What You’ll Do

• Lead complex assessments of supplier automation maturity using GM-defined frameworks and advanced analytics.
• Develop and implement automation maturity strategies that align with GM’s long-term operational goals.
• Evaluate and optimize supplier material handling and material flow systems to support cost and efficiency targets.
• Facilitate high-impact workshops and improvement plans with suppliers to address automation gaps.
• Act as a strategic liaison between suppliers, industrialization & internal GM teams to support sourcing and negotiation strategies through data-driven insights on supplier automation capabilities.
• Mentor junior specialists and guide cross-functional teams in automation maturity best practices.
• Present strategic recommendations to senior leadership and drive adoption across global teams.
• Own the development and continuous improvement of GM’s automation maturity model and supplier evaluation processes.