As an intern on the Systems Engineering Integration team, you’ll be working alongside those that integrate and validate our software and hardware systems required for enabling autonomous mobility.
We are looking for someone who is enthusiastic, inquisitive, a self-starter, and excited to work as an exceptional systems integration engineer. In this role you will be asked to analyze large testing data sets, identify patterns between systems, interpret state diagrams and design documentation, and improve the methods used for testing systems.
Currently working towards a B.S., M.S., Ph.D. or advanced degree in a relevant engineering program and within 1 year of graduation. For undergraduates, we are accepting only juniors and seniors
Minimum of a 3.5 gpa
At least one previous industry internship or co-op
Able to commit to a minimum of a 12-week internship
Professional and positive communication skills
Ability to relocate to the Bay Area, California
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.
Pursuing an undergraduate or graduate degree in mechanical engineering, electrical engineering, computer science, or data science
Data analysis and visualization programs (Matlab, R, JMP, Grafana, etc)
At least one previous co-op or internship
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.
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.