Job description

Zoox is developing state-of-the-art autonomous vehicle software for our purpose-built robotaxi. We believe that developing this end-to-end product will not only help us scale our services but will also result in a superior customer experience. In this role, you will own the continuous integration systems that every software engineer at Zoox depends on. More than a thousand engineers depend on it every day, running thousands of CI builds every weekday against one of the largest monorepos in the industry. Our goal is to run them fast, reliably, and cost-efficiently as both the codebase and the organization grow. You will work cross-functionally with various software teams as a force multiplier, finding where the build is slow or wasteful and fixing it at the platform level. This is a critical role to squash inefficiencies in our development process, improve the development experience for everyone in the software organization, and ultimately help us scale our autonomous vehicle fleet to more riders and more cities. In this role, you will: Own CI performance, cost efficiency, and reliability end-to-end, at thousands of builds a day and growing Rethink CI failure analysis, triage, developer support, and incident response with modern AI tools, shifting first-line work off human on-call Work cross-functionally to find where integration slows down and fix it at the platform level, and enable teams to make their CI efficient and reliable Set the technical bar for how CI is built and operated, and mentor the engineers around you Qualifications 5+ years of software engineering and programming experience, including significant experience in platform, infrastructure, or developer tooling Hands-on experience operating a distributed CI system at scale, Buildkite preferred; Jenkins, GitHub Actions, or similar Working familiarity with a modern build system such as Bazel, and with how caching and remote execution interact with CI Solid knowledge of version control systems such as Git Self-driven and motivated with a strong work ethic and passion for problem solving Bonus Qualifications Cloud compute cost analysis and fleet economics (AWS EC2 instance families, spot, right-sizing) Experience dealing with the operational challenges of large monorepos and merge queues Experience in "infrastructure as code" tools like Terraform, Helm, and Ansible, and good knowledge of Kubernetes and containers 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. Follow us on LinkedIn 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.

Requirements

Must-haves

Own CI performance, cost efficiency, and reliability end-to-end, at thousands of builds a day and growing
Rethink CI failure analysis, triage, developer support, and incident response with modern AI tools, shifting first-line work off human on-call
Work cross-functionally to find where integration slows down and fix it at the platform level, and enable teams to make their CI efficient and reliable
Set the technical bar for how CI is built and operated, and mentor the engineers around you
5+ years of software engineering and programming experience, including significant experience in platform, infrastructure, or developer tooling
Working familiarity with a modern build system such as Bazel, and with how caching and remote execution interact with CI
Solid knowledge of version control systems such as Git
Self-driven and motivated with a strong work ethic and passion for problem solving
Cloud compute cost analysis and fleet economics (AWS EC2 instance families, spot, right-sizing)
Experience dealing with the operational challenges of large monorepos and merge queues
Experience in "infrastructure as code" tools like Terraform, Helm, and Ansible, and good knowledge of Kubernetes and containers

Nice-to-haves

Hands-on experience operating a distributed CI system at scale, Buildkite preferred; Jenkins, GitHub Actions, or similar
Bonus Qualifications

Application prep

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Keywords to mirror

aiawskubernetesmachine learning

Platform: lever
Effort: quick