Senior Solutions Architect, Robotics Foundation Model Training

Job description

We are building a team of innovators to help partners develop and adopt the next generation of Physical AI, spanning data generation, large-scale multimodal model training, robotics simulation and deployment!

We are looking for a hands-on Applied Engineer with deep expertise in training foundation models at scale and a strong background in robotics. This role operates at the intersection of innovative AI research, accelerated computing and real-world applications, offering a unique opportunity to work directly with model builders to scale cutting edge Robotics Models from experimentation to production.

Job 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

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Senior Solutions Architect, Robotics Foundation Model Training

Job description

Job responsibilities

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