About the Work
- Design and implement novel robotics and machine learning technologies for the Nuro Driver.
- 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
- PhD or Masters Degree 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.
- Machine learning experience with techniques such as deep learning, reinforcement learning, imitation learning, transformers, and diffusion models.
- Experience in optimizing model performance through efficient processing, visualization, and analysis of large datasets.
- Strong software development skills and Python/C++ coding proficiency.
- 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.
- Bonus: hands-on experience developing software for safety-critical systems, distributed training, or inference optimization.
Compensation: $193,930 - $291,150/year base pay, plus annual performance bonus, equity, and competitive benefits.