Senior Software Engineer, Build Infrastructure

• Own and evolve the core Bazel build ecosystem that every engineer at Zoox relies on to compile code and run tests

• Directly accelerate engineering velocity by minimizing Bazel overhead, streamlining incremental builds to reduce iteration times, and working with our vendor Engflow to optimize our RBE platform

• Develop custom Bazel rules and tooling (via Starlark) that abstract complexity so product teams can focus on autonomy problems, not build friction

• Integrate software quality tools into our build system and development workflow (code coverage, static/dynamic analysis, include-what-you-use)

• Build tools and dashboards to empower developers to ship better software faster

• Bachelor's degree in an engineering, mathematics, or related field and 8+ years of experience

• Minimum of 4 years of expertise with Bazel (or similar systems like Buck or Pants)

• Linux experience

• Familiarity with maintaining large polyglot code bases

• Comfortable writing Python to integrate tools and automate as much as possible
• C++ experience

• Experience contributing to open source bazel

Zoox is looking for an experienced Software Engineer to drive cost optimization and efficiency improvements across our custom High-Performance Computing infrastructure managing annual compute spend. As Zoox scales its autonomous vehicle development, intelligent resource management and cost efficiency have become critical to our success.

You will modernize our HPC platform—built on industry-leading technologies like Ray.io, SLURM, and Kubernetes—with a focus on maximizing utilization, eliminating waste, and reducing cloud costs while maintaining world-class developer velocity.

These HPC services form the backbone of development workflows across all Zoox software teams, from data engineering to training our AI models in Perception, Planner, Prediction, to Simulation, and more. You will have a direct impact on Zoox's bottom line through measurable cost reductions and efficiency gains.

The position comes with a high degree of independence and the opportunity to define Zoox's compute economics strategy, both technically and organizationally. You will work closely with stakeholders in Autonomy and Software teams to balance performance requirements with cost constraints, incorporating FinOps best practices and the latest cost optimization techniques.

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.