The Program Management Office (PMO) at Zoox supports some of the company's most complex, cross-functional decisions and programs. PMO is responsible for developing & executing the company's roadmap. When needed, members of the PMO will roll up their sleeves and work hand in hand with cross functional stakeholders across engineering, operations, safety, comms & marketing, legal, regulatory affairs, etc to solve issues that arise.
We pride ourselves on our ability to take complexity and translate that into meaningful actions and high-quality, timely decisions. We have a strong track record of helping the organization execute more effectively across a number of different programs and initiatives. We do this through clear thinking, problem-solving, implementing improved operational measures, and influencing and coaching tactics.
In this Role, You Will...
Collaborate across diverse, cross-functional teams to gain a holistic, end-to-end understanding of the entire autonomous driving ecosystem and drive “0-to-1” initiatives focused on scaling various aspects of the development and deployment of our autonomous driving service.
Implement AI-powered tools to enhance efficiency and automation
Pioneer the framework for quantifying the impact of scaling initiatives, developing compelling business cases to champion investment in the most promising opportunities.
Architect and deploy insightful dashboards to unlock key business intelligence and provide high-visibility status reporting on program progress.
Take ownership of executing targeted initiatives, mastering essential program management and leadership skills.
Requirements
Currently working towards a M.S., MBA, or advanced degree in a relevant engineering program
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, or 1-2 semesters of coursework related to autonomous driving, robotics or adjacent domains
Can commit to a 12-week internship
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 implementing engineering processes, especially using tools available in the Atlassian suite such as Jira
Experience building dashboards using Looker, Databricks or similar
Excellent project & program management and organizational skills
Ability to focus on the big picture and provide clear concise communication tailored to the audience
Bonus Qualifications
Familiarity with AI-powered tools such as Cursor, Gemini, or Claude for automating processes, report generation etc
Previous experience in technical program management or autonomous driving domain
Additional Information
Compensation
The monthly salary range for this position is $5,500 to $8,500. 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.
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.
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