Site Reliability Engineer

Posted:
1/16/2026, 2:40:59 AM

Location(s):
Foster City, California, United States ⋅ California, United States

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
DevOps & Infrastructure ⋅ Software Engineering

Workplace Type:
Hybrid

Pay:
$105/hr or $218,400 total comp

Zoox is seeking a Site Reliability Engineer to help ensure the availability, performance, and resilience of the services that power the development and operation of our autonomous vehicles. In this role, you will own the full lifecycle of our services—from designing fault-tolerant, maintainable systems to deploying, operating, and continuously improving them in production. As a robotics company, Zoox embraces automation at every layer of our infrastructure, and you’ll help drive that ethos forward. You’ll work hands-on with systems that process massive volumes of data and support compute-intensive pipelines running on both CPUs and GPUs.
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 [email protected] 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.

Zoox

Website: https://zoox.com/

Headquarter Location: Foster City, California, United States

Employee Count: 1001-5000

Year Founded: 2014

IPO Status: Private

Last Funding Type: Convertible Note

Industries: Autonomous Vehicles ⋅ Machine Learning ⋅ Robotics ⋅ Transportation