Full Stack Engineer 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.

As a Full Stack Engineer Intern, you may be assigned to one of the following teams:

On the Robotics Infrastructure team, you will help shape the future of fleet management and performance monitoring for our autonomous robot fleet. This internship provides a hands-on opportunity to work with real-time telemetry, modern observability stacks, and critical cloud APIs. You will be instrumental in migrating legacy systems and optimizing our monitoring dashboards to provide fleet-wide omniscience

On the Ride and Fleet team, you will build out the backend services that provide top-notch rider and vehicle operator experience across mobile apps, robots, and web apps. Our Zoox robots take missions like rideshare trips, charging, cleaning, and support rider interactions like authentication, ingress, and egress. As our intern, you will be part of the backbone of our autonomous fleet management system and the brains behind connecting our riders and vehicle operators to our robots. You will learn from the myriad of our team's scope - from fleet dispatch, payment, rider & mission management, robot & service management to trip ETA. Working alongside our experienced engineers, you will get the exciting opportunity to solve challenging problems and define the ride experience of Zoox's autonomous vehicles.

On the Remote Operations Tools team, you will collaborate with product managers, designers, QA engineers and remote operators to build full stack web applications to monitor and support our fleet at scale, provide in-vehicle visualization systems and provide live ride support to our growing rider base.

• 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

• Fluent in Kotlin, Java or Python programming language
• Solid foundations in JavaScript, HTML and CSS
• Experience in modern C++ development on Linux systems
• Solid understanding of web technologies
• Experience with a Front End UI Framework (e.g Vue, React, Svelte)
• Experience with modern software development practices (Git, CI/CD, code review), automated testing and validation methodologies 
• Excellent problem-solving skills with the ability to analyze requirements and propose technical solutions
• Experience with Monitoring Tools (e.g., building/optimizing dashboards and alerts using Grafana)
• Experience in building backend services with HTTP APIs.
• Good understanding of distributed systems
• Ability to actively collaborate with team members to design solutions, define execution plans and deliver features
• Passionate in building ride service and fleet management for autonomous vehicles

• Experience with 3D graphics, especially in a web context
• Familiarity with robotics and 3D spatial reasoning

Compensation:

The monthly salary range for this position is $5,500 to $9,500. 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.

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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.