The Software Systems Infrastructure team is responsible for aiding the Software Systems organization with all its internal tooling needs, development processes and ensuring that all robot software meets a high bar for safety and stability in production vehicles. We are a high-paced software engineering team.
In this role, you will help establish infrastructure, design and develop software tools that will automate, track or audit processes and methods needed to build safety-critical software that will revolutionize transportation in the 21st century. Borrowing principles from avionics, automotive, and other safety-critical industries, you will work with software, systems and firmware engineers across the Zoox software organization, ranging from state-of-the-art AI Perception, all the way to highly-critical RTOS and middleware components.
You will work on exciting projects like building tools to compute code coverage for large monorepos, integrate third-party static analysis tools like Coverity, Parasoft, and dynamic analysis tools pytest-cov, build CI infrastructure to gate poor-quality code, and more.
In this role you will:
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.Qualifications:
Bachelor’s degree in an computer science, engineering, mathematics, or related field10+ years of industry experience working on large code basesStrong proficiency in working with build infrastructure such as Bazel or BuckStrong proficiency in Python and one or more of its frameworksStrong proficiency in scripting using shell, Python, etcExperience with sql/nosql databases like Postgres, MongoDb, etcExperience with Linux and systems programmingExperience with build systems, version control, and testing methodologies
Bonus Qualifications:
Master’s or Phd in computer science, engineering, mathematics or related field with a research backgroundRobotics, Automotive or Aerospace software experienceFamiliarity with Static and Dynamic Analysis Tools - such as Coverity, Parasoft, etcExperience with safety-critical systems
Additional
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