Mapping Software Intern

Zoox•Foster City, CA

53d

About The Position

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.

Requirements

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 for the duration of the internship
Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox

Nice To Haves

Conference or journal publications in Computer Vision, Machine Learning or Robotics related venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ICRA, RSS, etc.)
Experience with high-definition (HD) maps
Experience with object detection, object recognition, semantic segmentation and/or semantic scene understanding
Experience with 3D reconstruction, SLAM and/or Structure from Motion (SFM)
Experience with Geographic Information System (GIS)

Responsibilities

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