Manager, Solutions Architecture - Global Partner Team

at Nvidia

📍 Santa Clara, United States

USD 224,000-356,500 per year

MIDDLE SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 6 Agentic AI @ 3 GPU @ 6 HPC @ 6 LLM Leadership @ 6 Mathematics @ 3 RAG @ 3 Security Technical Leadership @ 6

Leadership & Mentorship: Lead and grow a high performing team of Solution Architects, providing clarity on Mission and Strategy, technical guidance, career development and resource allocation to meet GSI team objectives.
Strategic Practice Building: Partner with GSI leadership to build dedicated NVIDIA AI centers of excellence. Ensure partners are successfully integrating NVIDIA AI platform into their core offerings.
Organizational Collaboration: Work closely with NVIDIA product, Engineering and Business Development leadership to align partner feedback with our internal product groups and help to create an effective GTM.
Executive Advocacy: Represent NVIDIA at the C-suite level within GSIs, articulating the business value of full-stack AI acceleration and the transition to Agentic enterprise models.
Architectural oversight: Act as the technical authority for sophisticated, multi-step Agentic AI workflows, ensuring business use cases are satisfied with scalability, performance and security.

BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
8+ years of overall experience, with 3+ years specifically in technical leadership or management of Solutions Architecture/engineering teams.
Proven expertise in Generative or Agentic AI, RAG and the orchestration of LLMs. Comfortable understanding development platforms with the use of coding agents.
Deep understanding of Data Centers and relevant AI or HPC full stack infrastructure (GPU accelerated computing at scale).
Exceptional ability to communicate complex technical concepts to both engineering teams as well as non-technical business executives.