Senior/Staff Software Engineer, Motion Planning

What you'll do

• Design and implement decision-making and trajectory-generation algorithms, accounting for safety, comfort, reliability, and uncertainty.
• Bring robotics and machine-learning techniques into a production-grade, safety-critical system and integrate planning algorithms into the production stack.
• Collaborate with ML, prediction, and other teams; diagnose and tune system behavior using visualization tools.

What they ask for

• MS with 1-2 years of relevant experience, or PhD, in Computer Science, Robotics, or a related field.
• Strong production software development skills in C++.
• Robotics expertise in at least one of path planning, motion planning, trajectory generation, behavior planning, or optimal control.
• Strong math and physics fundamentals, and experience refining planning algorithms on a real-world robotic or vehicle platform.

Nice to have

• PhD + 1-2 years or MS + 3-4 years of relevant experience.
• Exposure to machine-learning techniques, familiarity with autonomy safety frameworks, or prior safety-critical systems experience.

Pay

USD 130,000–220,000 per-year-salary (base salary)

Tools

C++, Python, CasADi, Acados, git, ROS, webviz

AI focus

Applies machine learning and probabilistic, multi-future scenario representations to autonomous-truck planning; preferred exposure includes deep learning, imitation learning, transformer-based models, and diffusion-based models.