Requirements

• Experience: Ph.D. in Robotics, Mechanical Engineering, Computer Science, or related field, OR an M.S. degree with 4+ years of relevant industry experience.
• Applied Mathematics: Deep understanding of rigid body kinematics, dynamics, and 3D geometry. You are fluent in linear algebra and Lie theory for representing robot state.
• Modern C++ Expertise: You write production-grade, real-time C++. You are comfortable with modern standards (C++17/20) and libraries like Eigen, KDL, or Pinocchio.
• Planning Frameworks: Experience with motion planning libraries (e.g., OMPL, MoveIt, TrajOpt, or similar).
• Control Theory: Practical experience implementing PID, Impedance Control, or Model Predictive Control (MPC) on real hardware.
• Requires 5 days/week in-office collaboration with the teams.

Bonus Qualifications

• Physics Simulation: Experience tuning physics parameters in simulators like Isaac Sim, MuJoCo, or Gazebo to match real-world dynamics.
• Optimization: Familiarity with solvers like OSQP, Ipopt, or Ceres for trajectory optimization.
• ML for Control: Interest or experience in Reinforcement Learning (RL) or Learning from Demonstration (LfD) for manipulation tasks.
• Real Actuators: Experience working with industrial communication buses (EtherCAT/CAN) and motor drives.

Benefits

• Competitive stock options/equity programs.
• Health, dental, and vision insurance, 401(k) plan.
• Visa sponsorship and green card support for qualified candidates.
• Lunches and dinners, a fully stocked kitchen, and regular team-building events.