Automation or DevOps Tooling Intern (12-week, May/June 2026)

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 Automation or DevOps Tooling Intern, you may be assigned to one of the following teams:

On the Tools and Automation team, you will develop full-stack applications to support and enhance our QA Engineering processes. Your work will involve building scalable and efficient systems that integrate with various internal tools. Additionally, you will contribute to automation solutions to improve efficiency and streamline processes.

On the Release Management team, you will automate the existing release workflow, by developing new tooling and enhancing existing ones. This role requires someone passionate about automation and customer satisfactions, as those tools will be used both by the release team and by the rest of the company. Some examples of tools you might develop are dashboards to visualize the status of a release or trends of metrics across releases, automation of the approval process, from ingest of test results to sign off and deployment feature flag management tools, or propose tool and/or feature ideas to the team to improve and streamline processes.

On the Firmware Tools team, you will write software to help integrate internal and external tools for automated firmware prototyping, development, testing and integration. This role requires someone passionate about automation using both existing test frameworks, as well as developing new ones. In this role, you will develop software for an automated validation framework, supporting continuous integration (CI) and nightly tests. You’ll be able to propose tool and/or feature ideas to the team to improve processes, integrate tester software systems with server infrastructure, and design and implement automated test framework optimizations.

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
  
  

Qualifications

• Experience with software development languages (Python and C++ preferred)
• Experience with JavaScript/Typescript for front end development
• Experience building cross-platform software with source control (Git)
• Understanding of hardware testing and verification methods
  
  

Bonus Qualifications

• CI and build systems (e.g. Bamboo, Buildkite, etc.)
• Python libraries (e.g. pybind, pytest, pandas, python-can, plotly, matplotlib, etc.)
• HIL and/or SIL Test Frameworks
• Communication protocols (e.g. CAN, LIN, pub/sub)
• Multiprocessing and multithreading
• Basic knowledge of C++, Java and/or Kotlin
• ClickHouse, OpenSearch, Grafana, Databricks, etc.Databases
  
  

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).

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.