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.
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
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.
- 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
- 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.
Top Skills
What We Do
We're on a mission to better everyday life through robotics.
Our custom electric autonomous vehicles are designed to bring the things you need—from produce to prescriptions—right to your home. Nuro’s autonomous delivery can give you valuable time back and more freedom to do what you love. This convenient, eco-friendly, safe alternative to driving can make streets safer and cities more livable. Nuro has brought autonomous delivery to local communities in Texas, Arizona, and California—for less driving and more thriving.