Research Engineer, Robot Learning & Sim2Real RL

1X; San Carlos (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

1X in California seeks a robotics ML engineer to develop sim2real RL training pipelines for humanoid robots, train and test policies in simulation and on hardware, and optimize training speed. You will model physical dynamics, collect and retarget motion data, debug RL policies, and work across Python/C++ real-time systems to close the sim-to-real gap.

Join a team focused on advancing humanoid robotics through rigorous simulation, hardware testing, and data-driven optimization in a fast-paced

Qualifications

• Master's degree in a relevant field and 1 year of Robotics/ML experience.
• Experience implementing production-grade Python code for RL/ML pipelines.
• Knowledge of sim2real, RL algorithms, and humanoid capabilities such as loco-manipulation.
• Experience implementing and debugging real-time C++ software on robots.
• Modeling physical systems including multi-body dynamics with contact in simulation.
• Ability to perform root-cause analysis for robotic systems.
• Familiarity with forward/inverse kinematics for humanoid motion data.

Skills

Rigid body dynamics

Python RL pipelines

Sim2real RL

C++ real‑time robotics

Physical system modeling

Root-cause analysis

Kinematics (F/K)

Education

Master's degree in Robotics/AI/ML/Engineering/CS

Tools

Python

C++

Job description

1X in California seeks a robotics ML engineer to develop sim2real RL training pipelines for humanoid robots, train and test policies in simulation and on hardware, and optimize training speed. You will model physical dynamics, collect and retarget motion data, debug RL policies, and work across Python/C++ real-time systems to close the sim-to-real gap.

Join a team focused on advancing humanoid robotics through rigorous simulation, hardware testing, and data-driven optimization in a fast-paced