About Our Internship Program
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
Information Technology and Applications runs the enterprise systems, data platforms, infrastructure and security that Zoox employees rely on. Interns build and prototype solutions, often using AI, for real business problems, and see their work used as Zoox prepares for commercial launch. Interns in this pipeline may be considered for opportunities across a range of teams, including:
- Business Applications: Supports enterprise systems such as SAP, including AI use cases for supply chain planning and operations.
- Enterprise Data & AI: Builds data pipelines, monitoring and production-ready dashboards on the company data platform using Airflow, Databricks and Streamlit.
- Information Security: Applies AI and engineering to protect company systems and data. Builds automation and AI tools for detection and response, data protection, identity and access, and secrets and vulnerability remediation.
- IT Infrastructure: Supports the networks, devices and services that employees use.
- HRIS: Automates position and job workflows and builds self-service agents for people systems.
Compensation
The monthly salary range for this position is $5,500 to $7,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance and a relocation stipend.
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 accommodations@zoox.com 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.
In this Role, You Will...
Identify high-impact opportunities and prototype actionable solutions, including AI-based ones, for a business process
Build tools, automations, integrations, or dashboards that solve a real operational need
Work with business and technical teams to turn a business need into a scalable solution
Document and demo your work to stakeholders
Requirements
Currently working towards a Bachelor’s, Master’s, or advanced degree in computer science, information systems, data engineering, analytics, or a related program
Good academic standing
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
Proficiency in at least one scripting language (Python, Powershell, Base) and familiarity with SQL
Coursework or experience in networking, operating systems, enterprise applications, or security
Ability to translate business challenges into technical solutions, and explain technical work to non-technical audiences
Strong organization and attention to detail
Comfort in a fast-paced, evolving environment
Bonus Qualifications
Experience with Databricks, Airflow or Streamlit
Experience with SAP, Workday, or security and identity tooling
Experience building with LLMs or AI agents
