Senior/Staff Systems Architect

Posted:
8/11/2025, 9:45:34 AM

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

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
IT & Security

Workplace Type:
Hybrid

We are seeking a Senior/Staff Systems Architect with strong analytical and technical skills to drive architecture decisions for our autonomous driving platform. This role sits at the intersection of software, hardware, and systems design, with a focus on using real-world performance and service data to shape robust, scalable, and efficient solutions.

You will play a key role in profiling system performance (CPU, GPU, memory, and bandwidth), assessing operational efficiency, and identifying bottlenecks or failure risks across compute and service layers. Your insights will directly influence vehicle platform architecture, compute module design, and fail-operational strategies.
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