NVIDIASolutions Architect, AI for Science and HPC
NVIDIA is hiring a Solutions Architect, AI for Science and HPC in Tokyo, Japan. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include fine tuning.
- Level classifies it as a senior role.
- Level lists 2,600+ other open roles at NVIDIA.
AI in this role
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.
How we rate this
Solutions Architect, AI for Science and HPC at NVIDIA rates 64 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical solutions architect job
- $169k
This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Fine-tuning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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