Senior Software Engineer, Agentic Blueprints

Posted 12 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
184K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves designing, building, and deploying Accelerated AI workflows and applications, collaborating with various teams and optimizing distributed systems.
Summary Generated by Built In

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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 24, 2025.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.

Top Skills

AI
Cloud Native Environments
Containers
Deep Learning
Generative Ai
Kubernetes
Machine Learning
Nvidia
Restful Microservices
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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