New offer - be the first one to apply!
October 21, 2025
Senior • On-site
$184,000 - $287,500/yr
Santa Clara, CA
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 looking for a Solution Architect to work with our customers and partners in Japan, promoting the adoption of Agentic AI and providing technical support to enable them to use our portfolio of GPU-accelerated computing solutions—including machine learning, deep learning, and generative AI.
We are seeking a highly motivated senior software engineer to develop and deploy Metropolis Visual Intelligence Agents and Agentic AI Blueprints. NVIDIA Metropolis blueprints are reference accelerated AI workflows with Visual intelligence agents using Video foundation Models and Vision Language Models.
What you'll be doing:
In this role, you will Design, Build and Deploy Metropolis Agentic blueprints using Nvidia cosmos VLM NIMs and Video foundation NIMs for smart cities, warehouses, public safety and more.
Deploy, scale, benchmark and optimize these accelerated agentic blueprints in Cloud Native Environments (at the edge and cloud)
Collaborate, brainstorm, and improve the designs with collaborators from across the organization
Work closely with peer engineering, technical Program management and Product Management teams to make our products better
What we need to see:
Significant software and cloud development and deployment experience
Background in developing AI applications with vision models
A degree in Computer Science, Computer Engineering, or a related field (BS or MS) or equivalent experience.
8+ years of relevant industry experience
Strong background in design and implementation
Passion for building scalable and performant inference applications.
Hands-on development and deployment of high quality, highly distributed cloud-based RESTful microservices
Passion for extending your technical knowledge into new areas
Strong analytical skills and proven success in problem-solving and achieving performance objectives
Ways to stand out from the crowd:
MS or PhD in Computer Science or an equivalent technical field.
Experience building end to end AI inference services and deploying them into production
Background with cloud native technologies such as containers and Kubernetes, etc
Hands-on experience building accelerated AI applications using generative AI and vision models
Experience in building agentic applications
You will also be eligible for equity and benefits.