System Safety 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.

The SDMA team's mission is to construct the Safety Case and validate that our vehicles are safe enough to be deployed for autonomous driving.

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

On the Systems Safety for Operations and Service (SSOS) team, we are seeking a systems engineer candidate with a strong software development background to support safety analysis of live service events or off-vehicle software components and tools. The SSOS team leads the safety and reliable progress evaluation of Zoox operations and service such as TeleOperations, remote operator support tools, and test equipment. They perform safety and progress analysis using methods such as System Theoretic Process Analysis (STPA), requirements definition, and field safety investigations. This role will help initiate process improvements related to how we track our ability to always finish the mission and deliver a satisfied rider safely to their destination.

On the Platform Safety Engineering and Analysis (PSEA) team, we are seeking a systems engineer candidate with a strong data analysis background. In this role, you will work with a cross-functional team to evaluate the autonomous vehicle's interfaces, as well as its response to various faults. Your work will be highly hands-on and directly contribute to the safe deployment of our novel autonomous vehicle. Your work will involve conducting various types of data analysis, reviewing and developing requirements, and building dashboards.

• • 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

• • Solid understanding of statistical tools, such as importance sampling and Bayesian models
• Experience or familiarity with analysis of large datasets

• • Strong Familiarity with Python, Scala, and/or SQL
• Experience working with vehicle dynamics simulation tools such as Carmaker and/or Carsim
• Strong knowledge of control theory, mechanical and electrical control systems
• Familiarity with extracting sparse signals from large datasets.
• Experience working with cloud based APIs or network connectivity
• Experience working with operational safety or remote operators

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.