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. 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! What You Will Be Doing
- 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