Principal Software Engineering - Build System Modernization
General Motors1 day ago
Markham, CanadaStaff+
Responsibilities
- Lead software engineering productivity and effectiveness initiatives by shaping strategies, improving processes, guiding change, and connecting initiatives across teams.
- Assess existing build, test, dependency, toolchain, and hardware workflows and define a phased migration strategy from Make or shell-based orchestration to Bazel.
- Design and implement reusable Bazel rules, macros, toolchains, platforms, configuration patterns, and repository standards.
- Migrate embedded applications, libraries, generated code, firmware, cross-compilation flows, and platform variants while maintaining build parity and reproducibility.
- Integrate Bazel with CI/CD, testing, release, artifact, deployment, observability, security, and infrastructure workflows.
- Optimize and operationalize the build platform through caching, parallelism, reliability practices, documentation, training, legacy Make retirement, and continuous improvement.
- Measure build, test, CI, cache, reproducibility, artifact provenance, security compliance, developer adoption, and productivity outcomes.
- Evaluate AI-enabled engineering workflows using measurable quality, adoption, and productivity outcomes.
- Provide hands-on technical leadership, solve complex problems, and coach and mentor engineers and stakeholders.
Requirements
- Bachelor’s degree in software engineering or equivalent experience.
- 10+ to 15+ years of software development experience.
- Deep understanding of software architecture for real-time systems and experience shipping high-quality safety-critical products.
- Experience in automotive, embedded, safety-related, calibration, or systems-engineering environments.
- Large-scale migration experience from Make or shell-based build orchestration to Bazel.
- Strong expertise building and maintaining production software systems, with proficiency in Python and at least one additional engineering-tooling language.
- Experience with AI-assisted developer productivity, coding agents, code intelligence, knowledge retrieval, or workflow orchestration.
- Exceptional problem-solving and analytical abilities, attention to detail, and ability to manage multiple projects and priorities in a fast-paced environment.
- Preferred qualifications include a master’s degree or PhD in computer science, software engineering, machine learning, AI, or a related field.
- Preferred experience includes embedded or automotive software, safety-related toolchains, GM engineering tools, AI assistants or coding agents, knowledge systems, vector search, ranking, workflow orchestration, code intelligence platforms, reusable engineering tools, and measurable AI quality evaluation.
Benefits
- Hybrid work arrangement requiring attendance at the Markham or Oshawa office at least three times per week.
- Paid time off including vacation, holidays, and supplemental pregnancy, parental, and adoption leave.
- Healthcare, dental, and vision benefits.
- Life insurance plans.
- Defined Contribution Pension plan with company and matching contributions.
- GM Vehicle Purchase Plan for employees and their families.
About General Motors
General Motors designs, manufactures, and sells cars, trucks, and electric vehicles for consumers and commercial fleets under brands including Chevrolet, GMC, Cadillac, and Buick. A public company on the NYSE headquartered in Detroit and founded in 1908, it operates globally and is developing EVs on its Ultium battery platform. Revenue comes from vehicle and parts sales, connected services such as OnStar, and financing through GM Financial.