PT Student Worker-AI Driven trouble shooting Robot

Zoox · Foster City, CA

About Zoox

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.

About Our Part Time Student Worker Program

Zoox’s 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 part time student workers  who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox’s mission.

Project Overview

This opportunity is in the area of Robot validation which includes HW/FW/SW validation. PT Student-Workers on this team will have the chance to work on current and new robot platforms.

In this role, you will:

The "ideal" candidate is someone who can use AI tools to:

    • Identify Issues: Sort through hundreds of real-time data points to find failures.

    • Root Cause Analysis: Determine why an issue happened using automated tools.

    • Predictive Prevention: Use data to ensure the same hardware or robotics issue doesn't happen again.

    • Qualifications

  • Knowledge of Python, LLMs, AI based coding tools, basic principles of electronic HW validation

    • Bonus Qualifications

  • Automotive ECU knowledge, tools such as Polarion, Jira, Confluence, Testrail, and robot Verification & validation methods

    • Program Requirements

  • Currently pursuing a B.S. or M.S., in a relevant engineering field.
  • Plan to return to school after completing the program.
  • Available to commit to 6 months 20 hours a week.
  • Located in Foster City and able to come in 3X a week.
  • Student Worker may not use proprietary Zoox information in university theses, publications, or share it outside.
    • Apply →