People Operations Intern

Posted:
10/30/2025, 6:26:04 AM

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

Experience Level(s):
Internship

Field(s):
People & HR

Workplace Type:
On-site

Zoox is looking for an intern to support employee lifecycle transactions and talent practices on the People Experience (HR) team.  The intern will gain knowledge of HR processes by supporting day to day activity, contributing to process improvements and participating in projects, which will also provide foundational knowledge of HR management and develop lasting skills relevant to the HR profession.
Compensation
The monthly salary range for this position is $5,500 to $7,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility).

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