Qualifications

• M.S./Ph.D. in robotics, vision, computer science, or related engineering fields (or equivalent experience)
• 4+ years of hands-on experience in planning/control solutions for robotics
• Skilled in trajectory generation, optimization, sampling, cost/reward shaping, and control
• Experience with robotics simulation tools like Isaac Sim or Gazebo
• Proficient in C++ and comfortable with Python
• Ability to independently manage tasks with minimal supervision
• Strong problem-solving skills

Responsibilities

• Develop and implement advanced planning and control techniques for manipulative and navigational challenges
• Drive technical methodologies with emphasis on real-world application
• Research real-time techniques for efficient and safe trajectory generation
• Create scalable planning frameworks integrating traditional and ML methods
• Utilize GPUs for large-scale trajectory generation and evaluation
• Enable real-time closed-loop control using classical methods and machine learning
• Design simulation approaches and metrics for performance evaluation
• Collaborate cross-functionally within the organization

Benefits

• Opportunity to shape innovative AI capabilities in robotics
• Engage in exciting challenges in dynamic outdoor environments
• Impact the evolution of a cutting-edge product
• Work in a fast-paced startup environment with diverse responsibilities
• Join a growing team and expand your skills in robotics