Technical Program Management Intern, AI Tools Development
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.
This internship opportunity is within the Manufacturing Operations Program Management Team, which focuses on Technical Program Management across all teams within the department. Interns on this team will have the chance to work on Creating AI Tools for MOPS Teams, gaining valuable experience and insight into Automation and AI.
In this Role, You Will:
• Implement AI-powered tools including LLMs and Copilots to enhance efficiency and automation for Manufacturing Operations teams.
• Analyze operational data to inform tool development and measure impact.
• Build and improve AI solutions based on user feedback and requirements.
• Document technical implementations and create user guides for applied tools.
• Present project progress and results to team leadership and stakeholders.
• Contribute to the team's AI/automation strategy and best practices.
- Currently pursuing a B.S., M.S., or other advanced degree in Computer Science or relevant engineering field.
- Plan to return to school after completing the internship.
- Maintain good academic standing.
- Available to commit to a 12-week internship beginning in May or June 2026.
- 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.
- Interns may not use proprietary Zoox information in university theses, publications, or share it outside of Zoox.
- Familiarity with at least one programming language (Python, JavaScript, Java, C++).
- Basic understanding of AI/ML concepts through coursework or self-study.
- Familiarity with data analysis, process optimization, or workflow automation tools.
- Self-motivated, eager to learn, and able to work effectively in a fast-paced environment.
- Strong problem-solving and analytical thinking skills.
- Good written and verbal communication skills.
- Experience building AI-powered applications or tools.
- Familiarity with LLMs, prompt engineering, or AI agent frameworks.
- Previous internship experience in technical program management or software development.
- Understanding of agile development methodologies.
- Experience with version control systems (Git).
Compensation:
The monthly salary range for this position is $6,500 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.
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