Humanoid Locomotion Expert

Design Humanoid Locomotion Strategies

We're seeking a skilled Robotics Engineer with expertise in Isaac Sim and hardware-software deployment to design, implement, and test locomotion strategies for humanoid platforms.

Responsibilities:

• Develop novel locomotion methods for humanoid robots.
• Specialize in one of two tracks: control systems & optimal control methods, or reinforcement learning approaches in Isaac Sim, focusing on closing the sim-to-real gap.
• Build and refine algorithms for balance, gait generation, and stability control.
• Collaborate with mechanical and electronics teams to integrate locomotion into the full humanoid system.

Requirements:

• Foundational knowledge of control theory or reinforcement learning.
• Hands-on experience with Isaac Sim and Python.
• Familiarity with robotics simulation tools, physics engines, or related frameworks.
• (Preferred) Ability to transfer algorithms from simulation to real hardware.
• (Preferred) Experience with humanoid locomotion, bipedal walking, or balance control.

What We Offer:

• Work on core development of humanoid robots.
• Join a high-performance team building real hardware from the ground up.
• Flexible setup: remote-first, with access to our workshop.
• Exposure to industrial and academic partners.