Senior Software Engineer, Build Infrastructure

Job Description

Job Description

The Opportunity 
Zoox's mission is to build a purpose-built robotaxi that gives the world a better way to ride. Every line of that autonomous driving software has to be compiled, tested, and validated reliably at scale before it ever reaches the road. You'll join the team that owns the build infrastructure making that possible: maintaining and evolving our Bazel-based build system in a large, multi-language monorepo used by hundreds of engineers.

As a key contributor, you will take ownership of the build ecosystem supporting our rapidly expanding, safety-critical autonomous vehicle software. This role entails configuring and upgrading compilers, profiling and optimizing build pipelines, and serving as the primary expert for all build-related inquiries. While we have established a robust foundation using Bazel in a monorepo along with a remote build farm and cache, our goal is to elevate this into a world-class development experience. We are searching for a passionate engineer with a strong curiosity for optimizing build speeds and a commitment to empowering developers through metrics and advanced tooling within our fast-paced culture.

In this role, you will:

• 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

Qualifications

• Bachelor's degree in an engineering, mathematics, or related field and 8+ years of experience
• Minimum of 2 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

Bonus Qualifications

• C++ experience
• Experience contributing to open source bazel 

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

About Zoox

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.

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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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.