Senior Solutions Architect, Robotics Foundation Model Training

NVIDIA is building a team focused on the next generation of Physical AI, including data generation, multimodal model training, robotics simulation, and deployment. The Senior Solutions Architect will architect and optimize robotics foundation model training workflows, scale workloads across distributed systems, improve multimodal data pipelines, and collaborate with research, engineering, product, and customer teams.

Responsibilities:

• Engage with Researchers and ML engineers to architect and optimize end-to-end training workflows for robotics foundation models, like World Models, VLAs, WAMs
• Build proof-of-concepts, reference architectures, and agentic workflows that accelerate experimentation, benchmarking, and model improvement of NVIDIA’s Robotics Open model platforms like Cosmos and GR00T
• Scale pre-training, fine-tuning, and reinforcement learning workloads across multi-GPU and multi-node systems, improving utilization, throughput, and memory efficiency
• Identify and eliminate data pipeline bottlenecks across storage, networking, preprocessing, and data loading for multimodal datasets (video, sensor data, trajectories)
• Collaborate with NVIDIA product and engineering teams to provide feedback that shapes future Physical AI platforms