Agility Robotics is seeking a Senior AI Software Engineer, AI Controls to join the AI Controls team. You will design, train, and deploy robust reinforcement learning policies for locomotion, manipulation, and whole-body control on Digit, a humanoid robot deployed in real-world facilities. The role involves integrating perception to enable obstacle-aware, collision-free motion and perceptive manipulation, and maintaining core RL infrastructure, including scalable training pipelines and evaluation frameworks. You will design and implement new simulation environments and tasks to support training and evaluation of control policies, and collaborate with on-robot software and deployment teams to ship production-quality policies to Digit.
Agility Robotics is seeking a Senior AI Software Engineer, AI Controls to join the AI Controls team. You will design, train, and deploy robust reinforcement learning policies for locomotion, manipulation, and whole-body control on Digit, a humanoid robot deployed in real-world facilities. The role involves integrating perception to enable obstacle-aware, collision-free motion and perceptive manipulation, and maintaining core RL infrastructure, including scalable training pipelines and evaluation frameworks. You will design and implement new simulation environments and tasks to support training and evaluation of control policies, and collaborate with on-robot software and deployment teams to ship production-quality policies to Digit.
About You: 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 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 RL 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 ability to deliver safe, high-quality software in a fast-paced environment.
Bonus Qualifications: MS or PhD in Robotics, Computer Science, or a related field; experience with contact-rich manipulation, including force-torque or
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About You: 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 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 RL 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 ability to deliver safe, high-quality software in a fast-paced environment.
Bonus Qualifications: MS or PhD in Robotics, Computer Science, or a related field; experience with contact-rich manipulation, including force-torque or
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Based on: Senior AI Software Engineer, AI Controls
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