Nvidia Robotics Solution Architect – DNN Training Vision-Language-Action Models 

United Kingdom, England, Southampton 

449668802

Serve as the primary technical expert between NVIDIA and our customers, understanding their technology and provide the best AI solutions/ guidance on training process in terms of tools and methodology

Build proof-of-concepts and demonstrations that highlight the power of NVIDIA AI platforms in robotics

Partner with developers, researchers, technology specialists, IT professionals, and executives to facilitate the integration of NVIDIA technology

Work with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.

MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields.

Deep expertise in AI/Deep Learning, with hands-on experience in training or optimizing VLMs for production

Expertise with deep learning frameworks for training VLMs (PyTorch, Nemo), and/or experience with such model's optimization methods and tools (TensorRT and Triton Inference Server).

Excellent verbal, written communication, and technical presentation skills in English.

5+ years' work or research experience with Python/ C++ / other software development

AI passionate with a growth mindset, ability to collaborate effectively with different teams (Engineering, Product, Sales, Marketing) in a rapid evolving environment while continuously learning and sharing insights.

Familiarity with Cosmos (e.g. Cosmos-Reason) and Isaac GR00T family of models.

Familiarity with robotics simulation environments (Isaac Sim, Isaac Lab, MuJoco, etc.).

Experience in large scale training / understanding of modern model, data, expert, context parallel training techniques.

Track record in Neural Networks inference optimization for Physical AI use cases