As a radar software engineer on our perception team, you will be responsible for redefining what automotive radars can do and pushing the boundaries on the performance and safety for the perception stack. Apart from standalone radar algorithms, you will work on fusing the radar signals with camera and Lidar data evolving robot’s abilities to perceive complex environment for full level-4 autonomy.
M.S. or Ph.D. in related field
Fluency in C++ and Python
Extensive experience with programming and algorithm design
Experience in ADAS or AEB systems
Passionate about writing production quality and safety-critical code
Experience in radar raw signal processing
Experience in multi-hypothesis object tracking and estimation
Experience with GPU programming
Experience with state-of-the-art machine learning techniques
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 artificial intelligence, robotics, 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.
Zoox is a Menlo Park, CA-based robotics company founded by Tim Kentley-Klay and Dr. Jesse Levinson to create autonomous mobility. Operating at the intersection of design, computer science, and electro-mechanical engineering, Zoox is a multidisciplinary team working to imagine and build an advanced mobility experience that will support the future needs of urban mobility for both people and the environment.