In this role, you will:
- Populate the simulated roads with intelligent participants.
- Create simulated cars, pedestrians, bicyclists, motorcyclists, etc. to behave realistically by default, and tunable to create a full gamut of traffic/agent behaviors.
- Push the state of the art in traffic and behavior modeling to capture real-world behaviors as closely as possible.
- Work closely with various teams — including AI software teams, QA, and Validation Engineers — to push autonomous driving forward.
Qualifications
- Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, Robotics Engineering, Computer Science, or a related field
- PhD or 4+ years of experience in a related field
- Fluency in C++
- Mathematics skills, including trigonometry, linear algebra, and calculus
- Experience with motion planning, control systems, constrained optimization, and state estimation
Bonus Qualifications
- Experience in game development, traffic simulation, motion planning, or pathfinding
- Experience in automotive, robotics, data science, or machine learning
- Familiarity with Python
Top Skills
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
Gallery








