Leads technical collaborations and research on hybrid quantum-classical applications for AI, high-performance computing, simulations, and digital twins.
About this role
This Solutions Architect role supports Japanese manufacturing companies applying GPU acceleration and AI to chemical and materials science. It sits at the intersection of industrial high-performance computing, scientific research, data science, and customer-facing technical advising.
The work includes integrating NVIDIA GPU-accelerated tools and microservices such as ALCHEMI and CUDA-X libraries into chemistry, materials science, and semiconductor manufacturing workflows. The architect guides customers through technical aspects of the sales process, helps developers and researchers define solutions, supports GPU compute infrastructure, and shares knowledge through training, whitepapers, blogs, wiki articles, and technical problem-solving. Relevant areas include atomistic simulation, machine-learning interatomic potentials, graph neural networks, and structural generative AI models.
Applicants need a degree in computational chemistry, physics, computer science, or a related field, or equivalent experience; at least five years in industry or academia within the manufacturing ecosystem; strong programming, optimization, and software-design fundamentals; and proficiency in Python and C++. Japanese communication skills and business-level English communication are required.
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