描述
Vacancy Status:
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 Principal/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 (Responsibilities):
- 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.
- Lead the modernization of a large-scale embedded software test system.
- Define and modernize a standardized, fully automated, headless framework across virtual and physical environments to enable full-suite testing multiple times per day.
Key Deliverables
- Define the architecture and roadmap for standardized test execution, configuration and variation management, traceability, quality gates, regression selection, and results reporting.
- Establish change-impact analysis and risk-based regression strategies using Gears, Pure Variants, or equivalent tools to determine test applicability and optimize re-testing.
- Standardize test-result schemas, metadata, diagnostics, and artifacts; enable storage in Databricks for analytics, trend analysis, data mining, and reporting.
- Develop APIs and integrations connecting test execution, test management, issue tracking, failure triage, and diagnostic tools
- Improve test robustness, failure triage, execution speed, and deployment efficiency across CI/CD pipelines and physical and virtual test environments.
Measures of Success
- Faster, more reliable test deployment and execution.
- More efficient regression testing through accurate change-impact analysis.
- Standardized, traceable test results accessible through Databricks and documented APIs.
- Faster failure identification, triage, and resolution.
- Clear test applicability across software, hardware, configuration, and platform variants.
Qualifications/Requirements
- Bachelor's degree in computer science, computer engineering, electrical engineering, software engineering, systems engineering or a related technical field; or equivalent practical experience.
- Typically, 10+ and 15+ more years experience validating software systems, including substantial experience leading architecture across organizations.
- Deep understanding of software architecture for real time systems.
- Experience shipping high quality safety critical products.
- Experience architecting large-scale CI/CD, embedded test automation, and build-to-test pipelines.
- Expertise in variation management, configuration comparison, change-impact analysis, and risk-based regression testing.
- Experience with test-result data modeling, Databricks, analytics, data mining, and API development.
- Proficiency with embedded systems, Linux, Git, Python, Bash, Robot Framework, containers, and infrastructure as code.
- Demonstrated ability to integrate automated diagnostics and issue-management workflows.
People Skills:
- 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.
What Will Give You a Competitive Edge (Preferred Qualifications):
- Master’s degree or PhD in Computer Science, Software Engineering, Machine Learning, AI, or a related field.
- Experience in embedded software development, automotive software, systems engineering, or safety-related toolchains.
- Familiarity with GM engineering tools, engineering workflows, or internal platform environments.
- Experience building AI assistants, coding agents, or domain-specific AI capabilities for engineers.
- Experience with knowledge systems, vector search, ranking, workflow orchestration, or code intelligence platforms.
- Experience supporting large engineering communities through reusable tools, templates, and automation.
- Experience evaluating AI quality in production systems using measurable outcomes such as acceptance rate, time saved, precision and recall, hallucination reduction, or workflow completion rate.
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
Renseignements sur la diversité
General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés. Pour en savoir plus, consultez notre processus de recrutement.
Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)
General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi. Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant.
Aménagements (É.-U. et Canada)
General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.