Part-Time Student Worker - Hardware Software Integration Engineer

Job Description

Job Description

About Zoox
Zoox is an autonomous ride-hailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets.

About Our Part-Time Student Worker Program
Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters.

• Execute and coordinate validation cycles for Zoox's Manufacturing test infrastructure with a focus on driving test infra stability
• Act as on-call support for the factory, representing the HWSI-FW team as you document, triage, characterize and report stability issues in order to unblock factory operations

• Currently enrolled in a B.S. or M.S. in Automotive Engineering, Robotics, Systems Engineering, Mechatronics, or a relevant technical field
• Available to commit to a minimum three-month assignment
• Able to commit to a minimum of 20 hours per week
• Able to work on-site at one of our office locations
• Must adhere with Zoox confidentiality requirements, including refraining from using or sharing proprietary company information outside of Zoox, such as in academic research, theses, publications, or presentations

• Ability to understand and navigate complex technical systems
• Ability to grapple with ambiguity and collaborate with cross-functional teams
• Experience with Linux, Git, and Jira

• Experience with autonomous vehicles, robotics, or other safety-critical systems
• Experience with simulation environments and hardware-in-the-loop (HIL) testing

We want to be transparent: this is not an internship. The Part-Time Student Worker Program is designed to complement your academic experience by providing meaningful, ongoing work alongside your studies. Rather than participating in a cohort-based program, you'll join a team directly and contribute to real projects with real impact. While the program does not include structured intern programming or a pathway to full-time employment, it offers valuable opportunities to learn, develop new skills, and gain hands-on experience in a professional environment.

Compensation for this role is $30/hour.

This is a contract position; employment will be through a vendor contracted with Zoox. The hourly rate is as posted, and benefits eligibility is determined by the vendor.

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.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to View email address on ziprecruiter.com 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.