Solution Architect, Generative AI

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.

Responsibilities:

• 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

• 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.

Requirements:

• 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