Solutions Architect, AI for Science and HPC at NVIDIA

Tokyo, , Japan -

Full Time

Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Deep Learning, Machine Learning, Python, C/C++, Bash, Linux, High-Performance Computing, Technical Presentation, Collaboration, Problem-Solving, Analytical Skills, AI Solutions, Data Pipelines, Model Training, Technical Mentorship

Industry

Computer Hardware Manufacturing

Description

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. What we need to see: BS, MS or PhD in Computer Science, Engineering, Mathematics, or Physics Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement. 5+ years of industry or academic experience related to Generative AI or Deep Learning Strong coding development and debugging skills. Including experience with Python, C/C++, Bash, and Linux Ability to multitask effectively in a dynamic environment, strong analytical and problem-solving skills! Proactive and have a strong desire to share knowledge with clients, partners and co-workers Ways to stand out from the crowd: Significant technical proficiency in high-performance computing, AI/ML and/or material discovery, climate, bio science and related field. Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops Expertise in deploying large-scale training and inferencing pipeline A deep understanding of the latest generative AI or deep learning methods and algorithms NVIDIA is widely considered to be one of the technological world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you! 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

The Solutions Architect will explore advancements in Generative AI and support the building of AI for scientific use cases. They will lead research collaborations and enable strategic customers to build AI solutions using NVIDIA's accelerated computing stack.