Mapping Software Intern

• Design and develop novel algorithms and ML models for 2D/3D machine perception in real-world environments
• Stay up-to-date with the latest state-of-the-art research in computer vision and machine learning, and apply learned knowledge to improve our systems
• Coordinate cross-functional initiatives and collaborate with engineers from Mapping, Perception, Data Science, and more

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.