Simulation is essential to Zoox’s mission. Zoox uses simulation to develop our driving software, validate safety, and analyze our real-world performance. Our team’s work directly impacts how rapidly and successfully Zoox will achieve its goals.
For our simulators to successfully validate our autonomous driving stack, we need to realistically model and replicate the worlds we will be driving in. This includes modeling and simulating human behaviors, specifically traffic and other pedestrian behaviors. The challenge is that the simulated humans need to show realistic and representative behavior — we want our agents to jaywalk as a human might do, and also replicate a wide range of behaviors that we encounter while driving in real cities.
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
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.
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.