Tech Lead Manager, Nuro

• BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
• 4+ years of industry engineering experience, with a significant focus on AI, robotics, autonomous systems, or ADAS
• 2+ years of experience in a technical leadership or management role, leading software engineering teams
• 2+ years of dedicated expertise in machine learning
• Strong proficiency in C++ and Python
• Proven ability to lead cross-functional technical projects from design to completion

Desirable

• The Nuro Driver’s backup system is a redundant mini autonomy stack, which performs simple maneuvers to prevent collision as an additional layer of robustness
• It is similar in concept to an L2 ADAS system, with a significant emphasis on an AI driven approach
• 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
• As a TLM for Autonomy on the ML collision avoidance team, you will lead a team of talented software engineers, guiding technical direction and fostering their growth
• You will be responsible for both the technical vision and execution of critical AI components within our safety-critical backup autonomy stack
• Lead and mentor a team of software engineers, fostering a culture of technical excellence and building a highly motivated team
• Define technical roadmap and strategy for AI components within the backup system, ensuring alignment with overall product and safety goals
• Oversee the design, development, and deployment of machine learning models for general obstacle detection and motion prediction, using multiple sensors, with a focus on simple but effective representations for reliable performance
• Guide the team in data mining and analysis to predict future conflicts and to make principled decisions on initiating emergency maneuvers
• Collaborate with controls and behavior teams to ensure seamless integration and handoffs to and from emergency mode for safe and physically achievable emergency maneuvers
• Work closely with operations and systems teams to prove that collision prevention meets consumer vehicle standards, including designing and overseeing testing methodologies
• Lead large-scale simulated testing to identify unintended risks of the backup system, and accurately measure differentiation in the failure modes of the primary and backup systems
• Direct the implementation and testing of short-term fallback driving modes for the primary Nuro Driver, including fine-tuning or modifications of our "foundational" perception and behavior models
• Manage project timelines, resources, and deliverables, ensuring high-quality and timely execution