Sr./Staff Software Engineer, Behavior

Who We Are 

Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver™ is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver™ is one of the few driverless autonomous technologies on public roads today.

Nuro has raised over $2B in capital from Fidelity, Bailie Gifford, T. Rowe Price, Google, and other leading investors. We’ve partnered with some of the world’s most respected brands including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven.

About the Role

The behavior team at Nuro develops the Nuro Driver’s prediction and planning systems to enable safe, driverless autonomy on all roads. We are looking for software engineers to research, develop, and implement planning technologies for fully autonomous vehicles. You’ll be developing state-of-the-art algorithms to enable the Nuro Driver to safely and reliably plan complex maneuvers in a human-like manner. If you want to implement cutting-edge robotics and machine learning technologies in a collaborative environment with immediate impact, come and join us!

About the Work

• Design and implement novel robotics and machine learning technologies for behavior, motion planning, and decision-making for autonomous driving. Examples of roles the behavior team at Nuro is actively hiring for include:
• Maneuver planning in semi-structured environments, such as parking and multi-point turn maneuvers.
• Planning contingency maneuvers to ensure safe driving under anomalous conditions on all roads.
• Motion plan validation to quantify onroad risks to ensure safety.
• Motion planning and trajectory optimization, planning under uncertainty, and combining data-driven techniques with traditional model-based methods.
• Work cross-functionally with engineers across behavior, perception, mapping, and ML research to advance the state-of-the-art in autonomous driving.
• Implement practical solutions with production-ready software, to deploy new technologies on real vehicle platforms in a safe, performant, and scalable way.
• Provide technical guidance and mentorship to junior members of the behavior team.

About You

• 4+ years of Industry experience in robotics, computer science, mechanical/aerospace engineering, electrical engineering, mathematics, or related field.
• Robotics expertise in areas such as path planning, motion planning, trajectory generation, behavior planning, optimal control.
• Strong math (geometry, analysis, probability), physics (kinematics, dynamics), and analytical skills.
• Machine learning experience with techniques such as deep learning, reinforcement learning, imitation learning, transformers, and diffusion models.
• Strong software development skills and Python/C++ coding proficiency (C++ preferred).
• Ability to collaborate within and across teams and derive best solutions from cross-functional interactions.
• Desire to work at the edge of research and development, bringing algorithms from research into production.
• Plus: hands-on experience developing software for safety-critical systems.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $202,350 and $303,050 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.