Principal Software Engineering in Markham

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. The successful candidate is expected to report to Markham or Oshawa office three times per week, at minimum.

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.

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.

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

Benefits Overview: 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.

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.

Non-Discrimination and Equal Employment Opportunities: 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.

Accommodations: General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580.