Zoox is looking for an Image Quality Engineer to support tuning and testing of our production cameras’ automotive image sensors for autonomous vehicles. The Image Quality Engineer should be able to analyze image data from opto-electrical systems using standard software tools (e.g. python, MATLAB, ImageJ, etc.), and should be able to communicate effectively with suppliers to understand ISP and image sensor capabilities. This candidate should have experience tuning image signal processing algorithms and a basic understanding of geometric optics and image formation. The candidate should be familiar with modern imaging techniques, such as high dynamic range (HDR) and tone-mapping. The image quality engineer should have experience designing and performing tests in the lab and in the field to verify detector performance.
BS in computer science, physics, optics, EE, or similar
2+ years of relevant professional experience
ISP algorithms (e.g. HDR, tone-mapping)ISP tuning of HDR sensors, automotive sensors a plus
Familiarity with industry leading providers of automotive ISPs
Image quality testing and corresponding test standards (e.g. MTF/SFR, color reproduction)
Python, MATLAB Technical writing
Strong communication skills
Experience programming with C++, Git/GitHub
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.