Principal Software Engineering - Test System Modernization

Posted 12 Hours Ago
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Markham, ON, CAN
Hybrid
Expert/Leader
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
We make amazing products people love, for every journey.
The Role
Leads modernization of large-scale embedded software test systems for software-defined vehicles. Defines architecture, automation, test execution, configuration and variation management, traceability, quality gates, regression strategies, data models, APIs, diagnostics, and CI/CD integrations across virtual and physical environments. Provides technical leadership, mentors engineers, improves testing speed and reliability, and enables analytics through Databricks.
Summary Generated by Built In
Description
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

This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager.
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
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 [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Skills Required

  • Bachelor’s degree in computer science, computer engineering, electrical engineering, software engineering, systems engineering, or a related technical field, or equivalent practical experience
  • 10+ years of experience validating software systems
  • 15+ years of 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
  • Ability to integrate automated diagnostics and issue-management workflows
  • Exceptional problem-solving and analytical abilities with strong attention to detail
  • Ability to manage multiple projects and priorities in a fast-paced environment
  • Ability to work in an action-oriented decision-making environment
  • 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, 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

What the Team is Saying

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The Company
HQ: Detroit, MI
165,000 Employees
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

Typical time on-site: 3 days a week
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