Senior Software Engineer, Nuro

• BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
• Python fluency and C++ familiarity

Desirable

• The Nuro Driver’s backup system is a redundant mini autonomy stack, which brakes to prevent collision as an extra safety level
• You can think of it as an L2 self-driving system
• The backup systems team engineers this system, including perception, prediction and risk reasoning, commanding emergency paths, and proving the system’s performance
• Our team also works on some other safety features within the driver, for instance reduced operation following hardware failures
• Machine learning for general obstacle detection and motion prediction, using multiple sensors, with a focus on simple but effective representations for reliable performance
• Data mining and coding to predict future conflicts and to make a principled decision whether to start an emergency maneuver
• Code safe and physically achievable emergency maneuvers, integrating with our controls team and behavior team for handoffs to and from emergency mode
• Working with our operations and systems teams to prove that collision prevention meets consumer vehicle standards
• Large scale simulated testing for unintended risks of the backup system, and measuring differentiation in the failure modes of the primary and backup systems
• Implement and test short-term fallback driving modes for the primary Nuro Driver, including some fine-tuning or modifications of our “foundation” perception and behavior models