Senior Solutions Architect - Cluster Design and Architecture

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.

What you’ll be doing:

• Partner with internal engineering efforts in GPU cluster design and networking and convey architecture and optimal process information both direct to customer and with field teams supporting customers
• Guide field teams and their customers in cluster design, weighing design principles but also complex, situational limitations to make the most performant and supportable GPU clusters possible
• Work closely with field teams supporting customers 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 and/or creating customer facing documentation on standard processes and service flows
• Perform hands‑on work to assist field teams 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, but not limited to, GPUs, NVLink, NVIDIA Networking, etc.; specifically debugging issues that occur during deployment on NVLink, etc.
• 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 January 24, 2026.

NVIDIA uses AI tools in its recruiting processes.

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.