Autonomous Vehicle Health Monitoring Software Developer Intern

Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do.

Zoox’s internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry’s brightest minds, and the opportunity to make meaningful contributions to real projects. We seek interns who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox’s mission.

Zoox is looking for a talented software developer to help build a universal test asset health monitoring system that provides real-time visibility and actionable insights. You will design and implement a scalable health monitoring solution across Zoox's diverse fleet of test assets. You will work closely with hardware, software, and operations teams to understand asset environments and end-user needs, then deliver impactful dashboards and tooling that provide visibility across the organization.

Program Requirements

• Currently pursuing a B.S., M.S., or Ph.D. in in Computer Science, Electrical Engineering, or a related field
• Plan to return to school after completing the internship.
• Maintain good academic standing.
• Available to commit to either a 12-week internship (beginning in May or June 2026), or a 6-month co-op.
• At least one prior industry internship, co-op, or relevant project experience.
• Willing and able to relocate to the Bay Area, California, for the duration of the internship.

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• Interns may not use proprietary Zoox information in university theses, publications, or share it outside of Zoox.
  
  

Qualifications

• Proficiency in Python and C++
• Experience with data visualization tools or dashboarding frameworks
• Familiarity with Linux-based environments, command-line tooling, and Git
• Strong debugging and problem-solving skills
• Ability to work independently and communicate effectively across teams
  
  

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Bonus Qualifications

• Experience with Grafana or similar observability platforms (e.g., Looker, Databricks)
• Familiarity with embedded systems or hardware-in-the-loop (HIL) test environments
• Experience with time-series databases or metrics pipelines
• Knowledge of containerization tools (Docker, Kubernetes)
• Prior internship or project experience in robotics, autonomous vehicles, or test infrastructure
• Experience with REST APIs or data ingestion pipelines
  
  

Compensation

The monthly salary range for this position is $6,500 to $9,500. 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.

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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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.