Solutions Architect, Manufacturing

Responsibilities

• Be a technical expert with vision on integrating NVIDIA GPU-accelerated tools and microservices such as ALCHEMI, PhysicsNemo, and our CUDA-X libraries into Industrial HPC, Chemistry, Material Science, and Semiconductor Manufacturing workflows.
• Support the business development team in guiding the customer through the sales process for NVIDIA’s platform of GPU compute systems and acceleration software. Be responsible for the technical relationship and assist our customers and partners in developing innovative products using NVIDIA technologies.
• Dynamically engage with developers, scientific researchers, and data scientists to understand their goals, strategies, and technical needs, and help to define and deliver high-value solutions that meet these needs. Answer questions and provide mentorship – you will help them build their GPU compute infrastructure and…
• Document what you know, and guide others. This can vary from building targeted training for partners and other Solution Architects, to writing whitepapers, blogs, and wiki articles, to working through challenging problems with a partner on a whiteboard.
• Keep up-to-date on the latest techniques in AI for Chemistry and Materials Science, including atomistic simulation, machine learning interatomic potentials (MLIPs), graph neural networks (GNNs) for property prediction, and structural generative AI models.
• What we need to see
• Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement.
• BS or MS in Computational Chemistry, Physics, Computer Science, or related field (or equivalent experience)
• 5+ years of industry or academic experience in the manufacturing ecosystem, applying the latest advances in AI for Chemical and Material Science
• Strong fundamentals in programming, optimizations and software design, especially in Python and C++

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