Nvidia

Solutions Architect, Manufacturing

Nvidia
Apply
2 months ago
Tokyo, JapanSenior

Responsibilities

  • Integrate NVIDIA GPU-accelerated tools and microservices such as ALCHEMI and CUDA-X libraries into industrial HPC, chemistry, materials science, and semiconductor manufacturing workflows.
  • Support the business development team during the sales process for NVIDIA GPU compute systems and acceleration software.
  • Own technical customer relationships and help customers and partners develop products using NVIDIA technologies.
  • Engage developers, scientific researchers, and data scientists to understand their goals and deliver high-value technical solutions.
  • Help customers build GPU compute infrastructure and maximize their investment through technical guidance and mentorship.
  • Create training, whitepapers, blogs, wiki articles, and other documentation for partners, customers, and Solution Architects.
  • Stay current with AI techniques for chemistry and materials science, including atomistic simulation, MLIPs, GNNs, and structural generative AI models.

Requirements

  • Excellent verbal, written, and technical presentation skills in Japanese, plus business-level English communication.
  • BS or MS in Computational Chemistry, Physics, Computer Science, or a related field, or equivalent experience.
  • At least 5 years of industry or academic experience in the manufacturing ecosystem applying AI to chemical and materials science.
  • Strong programming, optimization, and software design fundamentals, especially in Python and C++.
  • Ability to multitask effectively in a dynamic environment.
  • Strong analytical and problem-solving skills.
  • Proactive approach and strong desire to share knowledge with clients, partners, and coworkers.
  • Hands-on experience with CUDA and PyTorch is preferred.
  • Experience developing or using Machine Learning Interatomic Potential models is preferred.
  • Working knowledge of molecular dynamics and density functional theory simulations is preferred.
  • Familiarity with Graph Neural Networks for property prediction of molecules, polymers, and formulations is preferred.

Benefits

  • NVIDIA offers highly competitive salaries and a comprehensive benefits package for employees and their families.
  • NVIDIA is committed to a diverse work environment and is an equal opportunity employer.

Categories

Solutions Engineering
Nvidia

About Nvidia

10,000+ employees

Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.

Contact me