Senior Manager Automation and AI

Description

No: 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

Work Arrangement: 

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

The Role  

We are seeking a dynamic and innovative Senior Engineering Manager to lead our Next Gen Automation and AI Team at a pivotal time in our industry. As we embark on a digital revolution of our engineering tools and systems, you will lead a team and play a critical role in enhancing simulation techniques with Artificial Intelligence to drive the development of new software content for our vehicles. Your leadership will enable maximum efficiency, increased robustness, and optimized workflows that are scalable. 

What You'll Do

• People leadership, manage established teams with the optimal mix of talent and experience. Makes internal and external staffing decisions, supports, and guides individual development of direct reports and their teams, drives performance to deliverables.
• Execution leadership, manage established teams focused on AI, data analytics, simulation, and automation frameworks for hardware, software, and system design and development. 
• Develop the vision, product roadmap, and execution plan for the team, working closely with other parts of the organization to ensure strategic alignment focusing on 4 critical pillars:
• Cloud Infrastructure Deployment
• Automation Pipeline
• AI Agent Development
• Anomaly Detection
• Set priorities, remove roadblocks, and communicate impacts.
• Foster a culture of innovation by prototyping new data-driven solutions that align with evolving goals and future-proof technology stacks.
• Proactively engaged in the team’s day to day work and allocate team tasks reasonably according to project objectives and ensuring delivery according to milestones. 
• Provides technical leadership to working team. Interacts and collaborates with many teams cross-functionally. 
• Leads team on new methods or initiatives without defined procedures. 
• Develop team’s capabilities and provide mentorship to team members. 
• Insures employees complete all mandatory GM training and any specific training related to functional responsibility. 
• Understands & supports employee's career development goals. Develops and executes initiatives to improve work team capability and increase work team capacity. 
• Develop and manage the team’s travel, training, and indirect budget.
• Keep abreast with industry landscape and tools used in AI and data science to ensure we are using state of the art tools. 
• Participate in regular process improvement, management forums and transformational initiatives. 
• Reviews and approves employee work and overtime schedules, expenses, and other work-related data. 
• Reviews deliverables and provides candid & constructive feedback. Conducts performance interventions when necessary. 
• Oversee the use of data analytics and signal processing to analyze simulation output data using techniques such as wavelet transforms and motif discovery. 
• Guide the development of custom feature extraction methods for predictive modeling to be utilized in optimizations. 
• Implement statistical methods, anomaly detection, and clustering to uncover patterns within large-scale data sets. 
• Collaborate with team experts to incorporate physical interpretations of insights and create interactive data visualizations for effective communication. 
• Drive the building of machine learning models that can serve as surrogates in simulations. 

Your Skills & Abilities (Required Qualifications)

• ​Bachelor’s degree in software engineering, Computer Engineering, Computer Science, or equivalent majors required. Masters Degree preferred.
• 10+ years of hands-on experience in software or tools development.
• 5+ years of people management experience.
• Strong communication, collaboration, and interpersonal skills and ability to work effectively cross functionally.  
• Strong team management and people development skills.  
• Experience with Automotive SW development process.
• Knowledge of Full-Stack AI Deployment (e.g. scalable ML pipelines (MLOps) using Docker, Kubernetes, FastAPI, cloud services, or other modern toolsets).

What Will Give You A Competitive Edge (Preferred Qualifications)

• 2+ years of virtualization and simulation experience.

Compensation:     

The salary range for this role is $217,000 to $267,000. 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:

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, and friends.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. 

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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