Staff Infrastructure Engineer

Zoox

Foster City, United States

December 02, 2025

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Staff Infrastructure Engineer

Foster City, CA
Manufacturing Operations – Manufacturing Test & Diagnostics /
Full-time /
On-site
Zoox is seeking a talented Staff Infrastructure Engineer to lead the development of test infrastructure that supports manufacturing tests for our autonomous vehicles. In this role, you will drive the design and development of major infrastructure and platform components such as databases, REST APIs, containerization, CI/CD pipelines, and tester orchestration. You will also lead a growing team of engineers and collaborate closely across manufacturing, hardware, and software teams.

In this role, you will:

    • Direct and contribute to the development of a test framework to support all factory testing at Zoox manufacturing sites
    • Design and implement server infrastructure to support manufacturing test activities
    • Serve as the technical lead for best practices across areas such as database schema design, optimization, regression testing, and API design
    • Drive the development of common code libraries for test engineers, including coding standards, code coverage testing, and maintainability
    • Design and build dashboards for manufacturing data, including metrics such as throughput and tester utilization
    • Grow and mentor a talented team to meet the challenges of scaling

Qualifications

    • BS in Computer Science, Electrical Engineering, or related field, MS preferred
    • 12+ years of industry experience
    • Deep background in Python programming (scripting, web services, tool development)
    • Experience with system design, including databases, web servers, and containerization (e.g., Docker)
    • Knowledge of CI/CD pipelines, reproducible builds, deployment strategies, and supporting infrastructure
    • Experience deploying applications to cloud environments (AWS) and on-prem/bare-metal servers
    • Expert knowledge of Git and GitHub workflows

Bonus Qualifications

    • Knowledge of orchestration technologies such as Ansible or Kubernetes; familiarity with Grafana
    • Shell scripting experience on Linux
    • Familiarity with data visualization tools (Python or JavaScript)
    • Industry certifications (AWS, containerization)
    • Knowledge of electronics manufacturing
$227,000 - $272,000 a year
Base Salary Range

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.


Accommodations
If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter.

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. 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.
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