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

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