NVIDIA’s Worldwide Field Operations (WWFO) team is seeking a Solutions Architect with expertise in Multimodal Deep Learning, with a strong background in Vision-Language Models (VLMs), and a deep 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.In this role, you will operate at the intersection of innovative AI research and real-world applications. You will work as the primary technical specialist for NVIDIA customers, helping drive innovation powered by NVIDIA’s advanced hardware and software platform. You will develop proof-of-concept solutions, demonstrate modern neural network architectures, and advance how customers leverage multimodal reasoning for robotics and autonomous systems. A key part of this role involves close collaboration with a wide range of team members including developers, data scientists, IT managers, and senior executives. The ideal candidate is an experienced AI specialist with a deep understanding of vision-language-action reasoning, including large-scale pretraining, data curation, and post-training using supervised fine-tuning and reinforcement learning. The candidate should have a good knowledge in neural network optimization approaches. Expertise applying VLM to Physical AI use cases is a nice to have.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 methodologyBuild proof-of-concepts and demonstrations that highlight the power of NVIDIA AI platforms for Vision Language Reasoning ModelsPartner with developers, researchers, technology specialists, IT professionals, and executives to facilitate the integration of NVIDIA technologyPartner 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.What we need to see: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 productionExpertise 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 developmentAI 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.Ways to Stand Out from The Crowd:Familiarity with Cosmos-Reason and Isaac GR00TTrack record in running large scale training and customization of VLM.Track record in Neural Networks inference optimization for Physical AI usecasesWidely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer www.nvidiabenefits.com/NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.