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
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- About GM
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