• 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.