Mapping Software Intern

Zoox’s internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission.
High-definition semantic maps are critical for enabling fully autonomous driving. We are looking for highly motivated individuals who are passionate about machine learning and computer vision. You will be part of our mapping team with a diverse group of researchers and engineers, working together to build core machine perception algorithms to understand the natural environments and build semantic maps in an automated way.

This role contributes to developing high-definition semantic maps critical for enabling fully autonomous driving, which aims to provide the next generation of mobility-as-a-service in urban environments.

• Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant engineering program
• Must be returning to school to continue your education upon completing this internship
• Good academic standing
• Able to commit to a 12-week internship beginning in May or June of 2026
• At least one previous industry internship, co-op, or project completed in a relevant area
• Ability to relocate to the Bay Area, California or Boston for the duration of the internship
• Experience with training and deploying deep learning models
• Experience with 3D computer vision and projective geometry
• Proficiency in Python and/or C++
• Experience with deep learning frameworks such as PyTorch

The monthly salary range for this position is $5,500 to $9,500. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility).

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market, aiming to provide the next generation of mobility-as-a-service in urban environments.