Senior AI Controls Engineer for Humanoid Robots

Agility Robotics; Salem (OR); Hybrid; USD 187,000 - 292,000; Full time

Benefits offered by this job

401(k) match

Stock options

Full medical/dental/vision

Relocation assistance

Flexible work arrangements

Tuition reimbursement

Discretionary bonus

Job summary

Agility Robotics in the United States is seeking an AI Controls Engineer to design, train, and deploy reinforcement learning policies for humanoid locomotion and manipulation, integrating perception for safe, perception-aware motion.

You will build RL infrastructure, simulate environments, and collaborate with on-robot teams to ship production-ready policies for Digit, with competitive compensation and a comprehensive benefits package.

Qualifications

• 4+ years of experience developing and deploying RL policies for robotics applications.
• Strong Python skills and hands-on experience with a deep learning framework such as PyTorch.
• Experience designing reward functions, tuning hyperparameters, and implementing exploration strategies to solve complex control tasks.
• Experience with perception-in-the-loop control, integrating real-time sensory inputs for reactive or adaptive behaviors.
• Proven experience deploying reinforcement learning policies on real-world bipedal or quadrupedal robots.
• Familiarity with robot simulation environments (e.g. Mujoco-Warp, Isaac) and sim-to-real transfer.
• A collaborative approach and the ability to deliver safe, high-quality software in a fast-paced environment.

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

RL for Robotics

Robotics

Perception-in-loop

Mujoco-Warp

Isaac

Education

MS or PhD in Robotics

Tools

Mujoco-Warp

Isaac

Job description

Agility Robotics in the United States is seeking an AI Controls Engineer to design, train, and deploy reinforcement learning policies for humanoid locomotion and manipulation, integrating perception for safe, perception-aware motion.

You will build RL infrastructure, simulate environments, and collaborate with on-robot teams to ship production-ready policies for Digit, with competitive compensation and a comprehensive benefits package.