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NVIDIA

Solution Architect, Generative AI

NVIDIA is hiring a Solution Architect, Generative AI 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 Python, GPU and Generative AI.
  • Level classifies it as a senior role.
  • Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Provide technical pre-sales support and solution architecture for enterprise adoption of NVIDIA's generative AI and accelerated computing platforms.

pythongpugenerative-aicuda
machine-learningdeep-learningpre-salessolution-architectureinference

NVIDIA is a world leader in computer graphics, artificial intelligence, and accelerated computing. For over 25 years, NVIDIA has been at the forefront of research and engineering around the greatest advances in technology. Our history of innovation drives us to solve the world's hardest problems. 

We are now looking for a Solution Architect to work with enterprise companies in Japan and partners, promoting the adoption and providing technical support to enable them to use our portfolio of GPU-accelerated computing solutions—including machine learning, deep learning, and especially generative AI.  

In Japan, the development of sovereign AI and agent-based systems using it is rapidly progressing. We are looking for people who are interested in pre-sales and technical support activities involving support and proposals for those model training and deployment. We need a passionate, hard-working, and creative individual who has the skills and aims to work in a fast-evolving technological environment that is always on the cutting edge of AI and Accelerated Computing. This individual is self-driven, excellent in communication and partnership, stays on top of tasks, mission focused and outcome oriented.  

What you'll be doing: 

  • Develop and demonstrate solutions based on NVIDIA’s pioneering GenAI software and hardware technologies with a focus on inference. This may include advising our customer on agent-based system design and optimal models and infrastructure. 

  • Work directly with key customers to understand their challenges and provide the best solutions based on NVIDIA products 

  • You will drive sustainability by performing in-depth analysis and optimization to ensure the best performance and cost-effectiveness using the NVIDIA software platform. This includes transitioning pipelines to lower precision compute. 

  • Drive pre-sales conversations, build architectures and demos to accelerate the customer AI journey based on NVIDIA products, and work closely with Sales Account Managers to secure design wins. 

  • 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: 

  • Excellent verbal, written communication, and technical presentation skills in Japanese.  Business level English communication is also a requirement. 

  • BS or MS in Computer Science, Engineering, Mathematics, or Physics (or equivalent experience) 

  • 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 

  • Demonstrated experience with cluster orchestration tools including Docker, Kubernetes, or SLURM across cloud service providers and on premises 

  • Ability to multitask effectively in a dynamic environment 

  • Strong analytical and problem-solving skills 

  • Clear written and oral communication skills with the ability to effectively collaborate with management and engineering 

  • Have a strong desire to share knowledge with clients, partners and co-workers 

Ways to stand out from the crowd: 

  • Expertise in deploying large-scale training and inferencing pipeline 

  • Experience with pre-training, post-training of transformer-based architectures for language or vision 

  • A deep understanding of the latest generative AI or deep learning methods and algorithms 

  • Experience using or operating Kubernetes, as well as experience writing or customizing Kubernetes configurations 

  • Experience in designing agent-based systems: Experience working as an architect on the overall design, including optimal infrastructure, agent architecture, and authentication systems

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

Solution Architect, Generative AI at NVIDIA rates 65 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.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Machine learningDeep learningPre SalesSolution ArchitectureInferencePythonGPUGenerative AI

Also common in solutions architect jobs at this level

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

  1. Tell me about a project where machine learning was part of your work. What did you do?
  2. Tell me about a project where deep learning was part of your work. What did you do?
  3. Tell me about a project where pre sales was part of your work. What did you do?
  4. Tell me about a project where solution architecture was part of your work. What did you do?
  5. Tell me about a project where inference was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Machine learning, Deep learning, Pre Sales, Solution Architecture, and Inference. 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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