Robotics AI Controls Engineer – Real-World RL for Humanoids

Agility Robotics; Fremont (CA); Hybrid; USD 187,000 - 292,000; Full time

Benefits offered by this job

401(k) plan with company match

Company stock options

Comprehensive health insurance

Well-being program

Unlimited PTO

Relocation assistance

Annual discretionary bonus

Job summary

Agility Robotics is seeking an AI Controls Engineer to advance learning-based control of Digit. You’ll design, train, and deploy high-rate RL policies for locomotion, manipulation, and whole-body control, while integrating perception to enable safe, collision-free motion in real-world settings.

You will build scalable RL infrastructure, create new simulation tasks, and collaborate with teams to deliver production-ready policies for robots operating in dynamic environments across customer

Qualifications

• 4+ years of experience developing and deploying RL policies for robotics applications.
• Strong Python skills and hands-on experience with PyTorch.
• Experience designing reward functions, tuning hyperparameters, and implementing exploration strategies.
• Experience with perception-in-the-loop control, integrating real-time sensory inputs.
• Proven experience deploying RL policies on real-world robots.
• Familiarity with robot simulation environments (Mujoco-Warp, Isaac) and sim-to-real transfer.

Responsibilities

• Design, train, and deploy robust RL policies for locomotion, manipulation, whole body control, and dynamic interactions with the environment.
• Integrate perception into RL policies to achieve obstacle-aware, collision-free motion, and perceptive manipulation.
• Develop and maintain core RL infrastructure, including scalable training pipelines and evaluation frameworks.
• Design and implement new simulation environments and tasks to support training and evaluation of control policies.
• Collaborate with on-robot software and deployment teams to ship production-quality policies to Digit.

Skills

Python

PyTorch

Reinforcement learning

Robotics

Perception integration

Sim-to-real

Mujoco-Warp

Isaac

Collaboration

Education

MS or PhD in Robotics, CS

Tools

Mujoco-Warp

Isaac

Job description

Agility Robotics is seeking an AI Controls Engineer to advance learning-based control of Digit. You’ll design, train, and deploy high-rate RL policies for locomotion, manipulation, and whole-body control, while integrating perception to enable safe, collision-free motion in real-world settings.

You will build scalable RL infrastructure, create new simulation tasks, and collaborate with teams to deliver production-ready policies for robots operating in dynamic environments across customer