Senior Research Engineer, Foundation Model Training Infrastructure

NVIDIA is seeking a senior or principal engineer to join their Generalist Embodied Agent Research (GEAR) group, focusing on Project GR00T - their ambitious initiative for developing foundation models and technology for humanoid robots. This role combines cutting-edge AI infrastructure development with robotics research, working alongside a team that has produced influential works like Eureka, VIMA, Voyager, and MineDojo.

The position requires deep expertise in distributed systems and machine learning infrastructure, with responsibilities spanning from designing large-scale training systems to optimizing GPU cluster performance. The ideal candidate will have extensive experience (10+ years) in MLOps and AI infrastructure, with strong programming skills in Python and C++, and deep knowledge of GPU acceleration and cluster management.

NVIDIA, recognized as one of technology's most desirable employers, offers a competitive compensation package including a base salary range of $224,000 - $356,500 USD, plus equity and comprehensive benefits. The role is based in Santa Clara, CA, placing you at the heart of NVIDIA's innovation center.

This is a unique opportunity to contribute to groundbreaking research in robotics and AI, working with state-of-the-art technology and infrastructure. The position combines technical leadership with hands-on development, requiring both deep technical expertise and the ability to collaborate with researchers to implement cutting-edge architectures.

Join NVIDIA's mission to advance general-purpose robots and large-scale foundation models, working with some of the most forward-thinking professionals in the industry. The company's commitment to diversity and inclusion, coupled with their position at the forefront of AI and accelerated computing, makes this an exceptional opportunity for experienced engineers looking to make a significant impact in the field of AI and robotics.