Principal Software Engineer- Test System Modernization

GM • Milford, MI

4d • Remote

About The Position

General Motors is seeking a Principal 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.

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, 15 or 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.
• 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.

Nice To Haves

• 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.

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.
• 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.

Benefits

• Company Vehicle Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
• Bonus Potential An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
• Relocation benefits are available for candidates who qualify under company policy.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal