Robotics Solution Architect - Dnn Training And Vision Language Action Models

NVIDIA's Worldwide Field Operations (WWFO) team is seeking a Solutions Architect with expertise in Multimodal AI, with a strong background in Vision-Language Models (VLMs), and understanding of their implications for "Physical AI" which is redefining industries such as robotics, manufacturing, and healthcare by combining perception and language with decision-making., 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.

The ideal candidate is an AI specialist with a deep understanding of vision language models and desire to reapply those skills in robotics. If you have a passion for vision-language-action models, large-scale pretraining, robotic data curation, and post-training using supervised fine-tuning and reinforcement learning, this is a position for you!, 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

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