• BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience
• 3+ years of industry experience
• Experience with sensor data processing (Lidar, camera, or Radar)
• Experience with building, integrating, debugging and evaluating ML-based systems
• Experience programming in C++ with robust and efficient code
• Software architecture skills

Desirable

• The HAL (Hardware Abstraction Layer) team's job is to make sure that sensors "just work" for the entire autonomous driving vehicle software stack
• We design APIs that abstract away hardware details and provide convenient and fast access to the GBs of information from the physical sensors
• We are responsible for the initial processing of the raw sensor signals and use the sensor data to derive compact, higher level information about the environment around the self-driving car that feeds into the Perception and Planning models which dictate the car's responses
• In this hybrid role, you will report to a Technical Lead Manager
• Work with a creative team of people who are responsible for the bring-up of new hardware platforms (vehicles, sensors, compute) and for building a multi-platform software stack
• Develop a Hardware Abstraction Layer (HAL) that provides sensor data to Perception through a unified API
• Work on a bleeding edge project at the intersection of traditional robotics and modern ML techniques