Humanoid Locomotion Algorithm Engineer

SERES AUTO_USA; Milpitas (CA); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

High ownership

Engineering-driven culture

Collaboration with hardware teams

Job summary

A robotics company in California is seeking a Robotics Algorithm Engineer to work on humanoid locomotion. This role includes developing RL-based policies, analyzing failure modes, and deploying algorithms on real robots. Ideal candidates will have over 3 years of robotics experience and strong programming skills in C++ and Python. You will collaborate closely with hardware teams and solve real-world robustness challenges. On-site work is required, with occasional travel opportunities.

Qualifications

• 3+ years of experience in robotics, control, or locomotion-related roles.
• Strong C++ and Python programming skills.
• Experience applying reinforcement learning to robotics control problems.
• Experience deploying algorithms on real robots.
• Solid understanding of rigid body dynamics and feedback control.
• Familiarity with state estimation for legged robots.

Responsibilities

• Develop RL-based locomotion policies for humanoid robots.
• Design training pipelines for domain randomization.
• Work on whole-body control frameworks integrating learned policies.
• Build and maintain locomotion simulation environments.
• Deploy policies to hardware with torque-controlled actuators.

Skills

C++ programming

Python programming

Reinforcement learning

Robotics control

Problem-solving

Linux environments

Tools

Mujoco

Isaac

ROS2

Job description

A robotics company in California is seeking a Robotics Algorithm Engineer to work on humanoid locomotion. This role includes developing RL-based policies, analyzing failure modes, and deploying algorithms on real robots. Ideal candidates will have over 3 years of robotics experience and strong programming skills in C++ and Python. You will collaborate closely with hardware teams and solve real-world robustness challenges. On-site work is required, with occasional travel opportunities.