Technical Recruiter, Hardware (Contract)

Posted:
12/16/2025, 4:10:31 AM

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

Experience Level(s):
Mid Level

Field(s):
People & HR

Workplace Type:
Hybrid

Pay:
$79/hr or $164,320 total comp

In this high-impact role, you will manage the full recruiting lifecycle for a diverse range of critical Hardware positions, which may span Vehicle Development, Advanced Hardware Engineering, Supply Chain, Quality & Reliability, and Manufacturing Operations. You will act as a brand ambassador, partnering closely with hiring managers to qualify requirements, source, recruit, and close world-class engineering talent.

The ideal candidate will thrive in a fast-paced environment and be genuinely passionate about Zoox’s mission.

Note: This opportunity will start as a contract role, with the potential for conversion to a full-time position.
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