Humanoid Robotics Engineer

We are seeking an exceptional Humanoid Robotics Engineer to spearhead the design, development and implementation of AI-driven control and decision-making systems for humanoid robots and embodied agents. This role involves integrating cutting-edge vision-language-action models, reinforcement learning, imitation learning, and real-time robotics systems to create robots capable of performing complex tasks in dynamic environments.

Key Responsibilities

• Integrate AI models (transformers, diffusion policy networks, LLMs, vision-language models) with physical humanoid robots to unlock unparalleled flexibility and adaptability.
• Design and implement real-time control frameworks that enable seamless AI decision-making to translate into smooth, safe and efficient motor actions.
• Develop pipelines to bridge simulation-to-reality gaps and optimize robot learning for real-world deployment, driving innovation and efficiency.
• Apply multi-modal AI learning (vision, audio, haptics, proprioception) to enhance robot perception and adaptability in diverse scenarios.
• Collaborate closely with hardware teams to calibrate robot sensors, optimize energy efficiency, and ensure reliable AI control execution.
• Develop and implement robust safety protocols for autonomous decision-making in environments with humans, ensuring trustworthiness and reliability.
• Conduct experiments in areas such as human-robot interaction, autonomous navigation, dexterous manipulation, and multi-agent collaboration, pushing the boundaries of what is possible.
• Research and implement emerging paradigms in Humanoid Robotics, including embodied GPTs, action-conditioned transformers, and world-model-based learning, staying at the forefront of innovation.

Required Qualifications

• Bachelor's or Master's degree in Robotics, Mechatronics, Computer Science, AI, or a related field (Ph.D. preferred for senior positions), demonstrating a strong foundation in robotics engineering and AI principles.
• Strong background in machine learning, particularly reinforcement learning, imitation learning, or embodied AI systems, with hands-on experience in developing and deploying AI-powered robotics solutions.
• Hands-on experience with robotics simulation environments (Isaac Sim, MuJoCo, Unity, Gazebo) and proficiency in Python and good knowledge of C++/ROS2 for robotics integration.
• Deep understanding of robotics control theory, kinematics, and sensor fusion, enabling effective system design and optimization.
• Demonstrated work with humanoid robots, quadrupeds, or robotic arms, preferably on vision-language-action models, showcasing expertise in humanoid robotics.

Preferred Skills

• Familiarity with NVIDIA Jetson, CUDA optimization, and real-time robotics inference, enhancing system performance and efficiency.
• Experience with large foundation models adapted for robotics (OpenAI VLA, Google RT-2, Gr00T) and knowledge of safety-critical autonomous systems, ensuring reliable operation in complex environments.
• Exposure to distributed training of large models on RTX/HPC clusters, facilitating scalable AI development and deployment.
• Working knowledge of teleoperation frameworks (for collecting demonstration data), streamlining data collection and annotation processes.

What We Offer

• The opportunity to contribute to cutting-edge humanoid robotics research and development, driving innovation and progress in the field.
• Access to advanced computing infrastructure (NVIDIA RTX 6000 GPUs, Jetson Thor platforms, VR mocap systems, and Unitree robots), enabling researchers and engineers to push the boundaries of what is possible.
• A collaborative and interdisciplinary team environment, spanning AI research and robotics engineering, fostering knowledge sharing and growth.
• Competitive remuneration and growth opportunities for leadership in next-gen Humanoid Robotics projects, recognizing and rewarding outstanding contributions.