Lawrence Harvey
Motion Planning & Controls Engineer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Santa Clara County, CA, USA
Work mode:
Onsite
Published on:
25 September 2026
What they need
Motion Planning & Controls Engineer
Santa Clara, CA
I’m currently working with a cutting-edge humanoid robotics company developing next-generation autonomous robots designed to operate in complex, real-world environments. We’re looking for an experienced Motion Planning & Controls Engineer to develop the planning and control software behind next-generation humanoid robots.
You'll work across the entire robot motion stack, developing algorithms that enable complex, coordinated movement across high-degree-of-freedom robotic systems, from locomotion and bimanual manipulation to full-body control.
What You'll Be Working On
- Develop whole-body motion planning and control algorithms, including search-based path planning, trajectory optimization and Model Predictive Control (MPC).
- Build and deploy learning-based control approaches, including reinforcement learning, imitation learning and sim-to-real transfer.
- Develop coordinated control strategies for locomotion, single-arm and bimanual manipulation, and whole-body loco-manipulation.
- Integrate motion planning and control with perception, state estimation, high-level ML policies and low-level joint and motor controls.
- Optimize motion quality, stability and performance through simulation, hardware testing and continuous algorithm development.
What We're Looking For
- MS or PhD in Robotics, Computer Science, Engineering or a related discipline.
- Strong background in whole-body motion planning, trajectory optimization, MPC and control of high-DOF robotic systems.
- Experience with robot kinematics, dynamics, task-space control and learning-based control approaches.
- Advanced C++ programming skills, strong software architecture knowledge and proficiency in Python.
- Experience with robotics frameworks and simulation tools such as NVIDIA Isaac, cuRobo, nvblox, MuJoCo, Drake, Pinocchio and ROS2.
- Understanding of how motion planning and control interface with perception, state estimation, ML policies and motor-level control.
Interested? Hit apply now or reach out to [email protected] directly with a copy of your resume.
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