Design and develop tools and infrastructure to help software teams build, track, and maintain safety-critical code, primarily using Bazel, Python, and backend technologies (e.g., databases, web servers).
Interface with C++ and Python codebases while integrating third-party static/dynamic analyzers and code quality tools into Zoox's ecosystem.
Collaborate cross-functionally with application, infrastructure, and safety teams to gather requirements and ensure alignment with high-assurance development practices.
Maintain and troubleshoot internal tools, while also writing quick automation scripts (e.g., for metrics, traceability) to streamline workflows.
Embrace an experimental, fail-fast mindset while tackling the unique challenges of building complex, safety-critical software for autonomous vehicles.
Work on projects like computing code coverage for large monorepos, integrating Coverity/Parasoft/pytest-cov, and building CI infrastructure to gate poor-quality code.
Requirements
Bachelor’s degree in an computer science, engineering, mathematics, or related field
10+ years of industry experience working on large code bases
Strong proficiency in working with build infrastructure such as Bazel or Buck
Strong proficiency in Python and one or more of its frameworks
Strong proficiency in scripting using shell, Python, etc
Experience with sql/nosql databases like Postgres, MongoDb, etc
Experience with Linux and systems programming
Experience with build systems, version control, and testing methodologies
Master’s or Phd in computer science, engineering, mathematics or related field with a research background (bonus)
Robotics, Automotive or Aerospace software experience (bonus)
Familiarity with Static and Dynamic Analysis Tools - such as Coverity, Parasoft, etc (bonus)
Experience with safety-critical systems (bonus)
Benefits
Paid time off (e.g. sick leave, vacation, bereavement)
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