Senior Solutions Architect, Global Partner Team

Posted 4 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves working with Global Systems Integrators and AI consulting firms to develop and manage technical partnerships, inspire partners to leverage Generative AI using NVIDIA technologies, build full stack solutions across industries, and communicate the business value of advanced AI solutions.
Summary Generated by Built In

NVIDIA is looking for a Solutions Architect to work with our Global Systems Integrator partners and AI consulting firms. This is a role that requires a combination of technical authority as well as good experience in managing technical partnerships. This individual will help inspire our partners to reimagine, reinvent and operate the enterprise business processes of the world's largest companies using Generative AI on NVIDIA platform.

What you'll be doing:

  • Becoming an expert and enabling GSI developers to adopt NVIDIA Nemo and NIM for their Generative AI offerings, platforms and client services.

  • Work with business managers to thoughtfully craft the vision, actionable and effective strategies for the group.

  • Closely partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions for industry vertical and enterprise use cases.

  • Encourage industry executives and GSI leaders by articulating the business value from the state of the art in Generative AI.

What we need to see:

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)

  • 8+ overall years of work-related experience in deep learning, data science or software development with knowledge of parallel computing with GPUs

  • Strong development experience with RAG and workflows building GenAI applications.

  • Developer experience with LangChain and LangGraph orchestrating LLMs

  • Working experience of orchestration platforms like Kubernetes and datacenter including compute, storage, and networking.

  • Clear written and oral communication skills with the ability to collaborate with management and engineering. Share knowledge with clients, partners and co-workers.

Ways to stand out from the crowd:

  • Have experience leading technical teams working with GSI.

  • Proficient developer on NVIDIA platform using Nemo and NIM, ML/DL frameworks and MLOps ecosystem of tools and solutions in the cloud and on-prem.

  • Experience with cloud based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques

  • Have a willingness and ability to dig into unfamiliar territories to tackle sophisticated problems and be a phenomenal listener.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

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

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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

Kubernetes
Langchain
Langgraph
Nim
Nvidia Nemo
Rag
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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