Solutions Architect, AI for Science and HPC

Nvidia · Tokyo, Japan

mid software engineering Solutions Architect ic 5+ yrs Bachelor's · Posted Apr 20, 2026

About this role

Nvidia is hiring a mid-level Solutions Architect in the software engineering function based in Tokyo, Japan. The posting calls out experience with Python, C, Bash, LLMs and roughly 5+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.

Role
Solutions Architect
Function
software engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Tokyo, Japan
Experience
5+ years
Education
Bachelor's degree
Posted
Apr 20, 2026
AI Summary
Senior Solutions Architect promoting GPU-accelerated computing and generative AI adoption with research institutes in Japan. Requires 5+ years GenAI/deep learning experience, fluent Japanese, Python/C++/Linux proficiency, and ability to build demos, POCs, and technical architectures for scientific discovery use cases.
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Job description

from Nvidia careers

Generative AI is revolutionizing. Ranging from supercomputing, higher education, manufacturing, semiconductors, energy storage, climate science and agriculture. The advent of AI models and tools such as ClimaX, GenSLM, MatterGen, etc are some exemplars of adapting AI for scientific research and discoveries. We are now looking for a Senior Solution Architect to work with leading science and research institutes in Japan, promoting the adoption of GPU-accelerated computing solutions—including machine learning, deep learning, and especially generative AI for scientific discovery and research.

What you'll be doing:

  • Exploring the latest advancement in GenAI (model training, fine tuning and customization), while supporting building AI for Scientific use cases.

  • Lead research collaboration working closely with internal technical stakeholders, from Headquarters to Worldwide.

  • Enabling NVIDIA strategic customers to build AI solutions using accelerated computing stack including NIMs and NeMo microservices.

  • Collaborate with developers and onboard them to NVIDIA AI platforms and services by providing deep technical guidance.

  • Drive conversations, build architectures and demos to accelerate the customer AI journey based on NVIDIA products, and work closely with our business development and marketing teams.

  • Create or run Proofs of Concept and demos that require presentation skills, the explanation of complex topics, and Python coding to execute data pipelines, train ML/DL models, and deploy them on container-based orchestrators.

    This is an excerpt. Read the full job description on Nvidia careers →
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