Senior Solutions Architect - AI Infrastructure

NVIDIA Corporation; California; On-site; USD 184,000 - 356,500; Full time

Job summary

NVIDIA seeks a Senior Solutions Architect to join NVIDIA Cloud Partners, focusing on GPU, NVLink, and infrastructure design for next‑generation GPU clusters that enable AI supercomputers and enterprise AI infrastructure. In this role you will partner with NVIDIA Cloud Partners on cluster design and deployments, guiding architecture choices and helping with new products and network topologies.

You will translate complex engineering concepts into customer‑ready materials and drive issues to

Qualifications

• BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or related field (or equivalent experience).
• 8+ years of experience in cluster design, validation, and issue resolution on GPU/HPC clusters.
• Proven expertise in designing large-scale distributed systems, AI clusters, or HPC infrastructure.
• Ability to translate sophisticated engineering concepts into customer-ready documentation, diagrams, and reference material.
• Expertise in driving customer/partner issues to a close with product and engineering teams.
• Ability to handle multi-functional communications across customer, product team, support team, engineering team, etc.

Responsibilities

• Partner with NVIDIA Cloud Partners in GPU cluster design and networking and convey architecture and optimal process information for building next-generation architectures.
• Guide NVIDIA Cloud Partners in cluster design, weighing design principles and limitations to create performant, supportable GPU clusters.
• Collaborate with NVIDIA Cloud Partners to ensure successful first deployments with new products, including new network architectures and topologies.
• Provide feedback from customers to engineering teams designing internal clusters.
• Perform hands-on work to assist NVIDIA Cloud Partners debugging issues related to cluster design, configuration, and performance.
• Support NP I customer deployments with new GPU/Networking architectures.

Skills

GPU cluster design

Distributed systems design

Customer documentation

Cross-functional communication

Networking

Education

BS/MS/PhD in CS/EE/CE/Physics

Tools

NCCL

MPI

IMEX

NMX

Job description

NVIDIA is building the world’s most groundbreaking and innovative accelerated computing platforms for AI and HPC. Because of our work, scientists, researchers, and engineers can push the boundaries of what’s possible. We pioneered a supercharged form of computing that powers everything from breakthrough AI research to the world’s fastest supercomputers. We are looking for a highly motivated Senior Solutions Architect to join NVIDIA Cloud Partners, focusing on GPU, NVLink, and infrastructure design for next-generation GPU-based clusters that enable the world’s most advanced AI supercomputers and enterprise AI infrastructure.

What You’ll Be Doing

• Partner with NVIDIA Cloud Partners in GPU cluster design and networking and convey architecture and optimal process information for building next-generation architectures.
• Guide NVIDIA Cloud Partners in cluster design, weighing design principles but also complex, situational limitations to make the most performant and supportable GPU clusters possible.
• Work closely with NVIDIA Cloud Partners to ensure successful first deployments with new products, including new network architectures and topologies.
• Feedback customer/field perspectives on cluster design and workflows back to engineering teams designing internal clusters.
• Perform hands‑on work to assist NVIDIA Cloud Partners debugging issues relating to cluster design, configuration, and performance employing internal engineering expertise and known bugs.
• Support NPI customer deployments with new GPU/Networking architectures.

What We Need To See

• BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or related field (or equivalent experience).
• 8+ years of experience in cluster design, validation, and issue resolution, specifically on GPU and HPC clusters.
• Proven expertise in designing large‑scale distributed systems, AI clusters, or HPC infrastructure.
• Ability to translate sophisticated engineering concepts into customer‑ready documentation, diagrams, and reference material.
• Expertise in driving customer/partner issues to a close with product and engineering teams.
• Ability to handle multi‑functional communications across customer, product team, support team, engineering team, etc.

Ways To Stand Out From The Crowd

• Experience leading large‑scale AI Factory or HPC cluster bring‑ups or builds.
• Hands‑on experience with NVIDIA products including GPUs, NVLink, NVIDIA Networking, etc.; specifically debugging issues that occur during deployment on NVLink.
• Knowledge of NCCL, MPI, IMEX, NMX, and collectives in distributed training as it pertains to cluster designs.
• External customer facing skill‑set and background.
• Effective time management and capability to balance multiple tasks and customers while thinking creatively to debug and solve problems.

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 for Level 4, and 224,000 USD ‑ 356,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 9, 2026.

SNSI, NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. We do not discriminate 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.