Senior Software Engineer Motion Planning

Who We Are 

Nuro exists to better everyday life through robotics. Founded in 2016, Nuro is a leading autonomous technology company with vehicles on road today in California and Texas. The company’s core technology is the Nuro Driver, an integrated autonomous driving system consisting of state-of-the-art, AI-first software and custom-built sense and compute hardware. The first commercial application of the Nuro Driver is autonomous goods delivery with our custom, electric, zero-occupant vehicles in partnership with some of the most recognized brands in the world including Uber and FedEx.

About the Team

On our Motion Planning team, you'll play a significant role in writing production ready code that enables the Nuro to drive safely, comfortably and efficiently on public roads

About the Role

In this role you'll research and develop algorithms for motion planning, write performant C++ code and interface with all other teams in the behavior planning organization. In this impactful role, you will collaborate with a best-in-class team of engineers to tackle hard problems and help advance the future of robotics to improve everyday lives.

About the Work

• Research and develop novel algorithms that solve the most challenging and exciting motion planning and trajectory optimization problems in autonomous driving, including optimization-based methods, sampling based methods and search based methods, planning under uncertainty, and combining data-driven techniques with traditional model-based methods
• Collaborate closely with engineers across prediction, perception, machine learning, mapping and localization, autonomy systems, and infrastructure
• Take responsibility for the core motion planning stack by leading feature development and improvements around safety, comfort and scalability of the motion planning code.
• Provide technical guidance and mentorship for junior members of the behavior planning team
• Write robust, production-ready software to make our vehicle safe and predictable in complex driving scenarios

About You

• PhD in Robotics, Computer Science, mechanical/aerospace engineering, electrical engineering, with 3+ years of relevant industry experience or M.S. with 5+ years of relevant industry experience.
• Proven ability to collaborate within and across teams
• Proven ability to lead technical development for safety critical planning systems for autonomous driving.
• Demonstrated effective communication skills and ability to articulate ideas and timelines to cross-functional groups.
• You also have at least one of the following:
• Research experience in one of: trajectory planning, motion planning, behavior planning, model predictive control, probabilistic robotics, optimal control, planning under uncertainty
• Experience designing, implementing, and refining novel planning algorithms on real-world robot platforms
• Strong C++ programming skills, algorithms and data structures knowledge, and software design experience
• Strong math (geometry, analysis, probability), physics (kinematics, dynamics), and analytical skills

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $167,200 and $250,800 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.