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.
Job Description
Autonomy Software builds the software that lets the Zoox robotaxi perceive its surroundings, predict what others will do, and plan and control the vehicle with no one behind the wheel. Interns join one of the teams below, work with a mentor on an open research or engineering question, and see a direct path from their work to the system that runs on Zoox vehicles and in simulation.
Interns in this pipeline may be considered for opportunities across a range of teams, including:
Autonomy Behaviors: Owns the decision-making, planning & control modules, which decide how the vehicle drives. Projects include machine-learned planning, long-horizon reasoning, configurable driving styles, freeway driving and new vehicle platform bring-up.
Perception: Gives the vehicle an understanding of its surroundings using camera, lidar, radar and audio. Projects include object detection and tracking, multimodal foundation models, scene understanding, occupancy and 3D mapping.
Guidance & Routing: Works on route-level planning and offline mapping, including the mission planner, map data delivery and road network tools.
Collision Avoidance System: Runs an independent safety layer with its own perception and planning. This team also works on the evaluation and data tooling for verification.
In this Role, You Will...
- Work on interesting research or advanced engineering problems that could have the potential to revolutionize the existing Autonomy Software stack.
- Design, build and evaluate state-of-the-art algorithms or machine learning models for a real autonomous driving system.
- Train and test models on large-scale driving and simulation data, and analyze failure modes to measure improvements.
- Write production-quality C++ and Python that goes through code review.
- Present your results to your team and at the end-of-summer project showcase, and contribute to publishable research where the project allows.
Requirements
- Currently working towards a M.S. or Ph.D. in computer science, robotics, electrical engineering, or a related engineering program
- Expected to graduate between Fall 2027 and Summer 2028, and enrolled at an accredited college or university throughout the internship
- Able to commit to a full-time, 12-week internship beginning in May/June 2027
- 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
Qualifications
- Currently working towards a M.S. or Ph.D. in computer science, robotics, electrical engineering, or a related engineering program
- Strong programming skills in C++ and/or Python
- Solid computer science fundamentals, including data structures and algorithms
- Experience with PyTorch, Jax, Tensorflow, Numpy
- Experience in at least one of machine learning, computer vision, motion planning, controls, prediction or mapping
- Clear communication of technical results
Bonus Qualifications
- Publications in top ML or robotics conferences (e.g. NeurIPS, CVPR, ICRA)
- Experience with autonomous driving or learned robotic planning
- Experience with large-scale, multi-node training workloads
Skills Required
- Currently pursuing an M.S. or Ph.D. in computer science, robotics, electrical engineering, or a related engineering program
- Expected graduation between Fall 2027 and Summer 2028
- Enrollment at an accredited college or university throughout the internship
- Availability for a full-time, 12-week internship beginning in May or June 2027
- Ability to relocate to the Bay Area, California, for the internship
- Strong programming skills in C++ and/or Python
- Strong computer science fundamentals, including data structures and algorithms
- Experience with PyTorch, JAX, TensorFlow, and NumPy
- Experience in at least one of machine learning, computer vision, motion planning, controls, prediction, or mapping
- Ability to clearly communicate technical results
- Publications in top machine learning or robotics conferences such as NeurIPS, CVPR, or ICRA
- Experience with autonomous driving or learned robotic planning
- Experience with large-scale, multi-node training workloads
- Intern work may not be used in a thesis, university publication, or distributed outside Zoox
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
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Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
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Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
Zoox Insights
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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