Staff Software Engineer - Build System Modernization

General Motors is seeking a software engineering leader to modernize and scale build systems supporting software-defined vehicles. The Staff Software Engineer will lead the migration from legacy Make- and shell-based workflows to Bazel, design scalable build infrastructure, integrate it with CI/CD and testing systems, and drive measurable improvements in developer productivity, reliability, security, and reproducibility.

Responsibilities:

• Lead software engineering productivity and effectiveness by identifying opportunities, shaping strategies, improving processes, guiding change, and connecting initiatives to deliver greater value through innovation, learning, and simplification
• Lead high-impact efforts hands-on, solve complex and unusual problems, and communicate effectively as a coach and mentor while balancing technical command with empathy
• Modernize a large embedded-software build and test system by transitioning legacy Make- or shell-based workflows to Bazel and establishing scalable, reproducible, secure, and developer-friendly infrastructure across repositories, toolchains, CI/CD, testing, and release processes
• Assess current build, test, dependency, toolchain, and hardware workflows to define a phased Bazel migration strategy and rollout model
• Design and implement reusable Bazel rules, macros, toolchains, platforms, configuration patterns, and repository standards, while migrating embedded applications, libraries, generated code, firmware, cross-compilation flows, and platform variants with validated build parity and reproducibility
• Integrate Bazel with enterprise CI/CD, testing, release, artifact, deployment, observability, security, and infrastructure workflows, and optimize the platform through caching, parallelism, reliability practices, documentation, training, legacy Make retirement, and continuous improvement
• Measure success through target repositories migrated with validated build and test parity; faster clean and incremental builds, CI queues, and developer feedback; increased reproducibility, approved hermetic-toolchain adoption, cache effectiveness, and CI capacity; and lower build, pipeline, and flaky-test rates
• Improve diagnosis and recovery time while ensuring complete artifact provenance, test evidence, and security-policy compliance for releases, strong developer adoption, reduced support burden, and measurable productivity improvement
• Evaluate AI-enabled engineering workflows using measurable quality, adoption, and productivity outcomes

Requirements:

• • Bachelor's degree in software engineering or or equivalent experience
• • 12+ years of experience in software development
• • Deep understanding of software architecture for real time systems
• • Experience shipping high-quality safety critical products
• • 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
• • Strong expertise building and maintaining production software systems, with proficiency in Python and at least one additional language used in engineering tooling environments
• • Automotive, embedded, safety-related, calibration, or systems-engineering environments
• • Large-scale migration from Make or shell-based build orchestration to Bazel
• • AI-assisted developer productivity, coding agents, code intelligence, knowledge retrieval, or workflow orchestration
• • Evaluation of AI-enabled engineering workflows using measurable quality, adoption, and productivity outcomes