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 seeking a highly motivated Senior Solutions Architect to join the NVIDIA Retail Solutions Architect team with a focus on GPU, NVLink, and infrastructure design. In this role, you will be at the forefront of assisting with designs and architectures for some for the largest next-generation GPU-based clusters enabling the world’s most advanced AI supercomputers and enterprise AI infrastructure in the field. As a Solutions Architect, you will serve as a key technical expert bridging NVIDIA’s ground breaking GPU and NVLink technology designs as well as all of our software solutions directly between engineering and field teams supporting customers with the most demanding requirements. You will work on end-to-end cluster design and architecture, performance modeling, validation, and NPI cluster deployments. Your expertise will directly influence how the world’s leading enterprises build their infrastructure.
What you’ll be doing:
- Work with customers to design GPU clusters (compute, networking, storage) that can be large scale AI training clusters to modular inference clusters.
- Work closely with OEMs to ensure successful first deployments with new products, including new network architectures and topologies.
- Feedback to Product, engineering teams on Reference architectures, Deployment and performance.
- Perform hands-on work to assist Enterprises in debugging issues relating to cluster design and configuration.
- 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 communicate technical details with technical leaders and customer executives.
- 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.
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.
This posting is for an existing vacancy.
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. 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.Skills Required
- Bachelor’s, master’s, or doctoral degree in Computer Science, Electrical Engineering, Computer Engineering, Physics, or a related field, or equivalent experience
- 8 or more years of experience in cluster design, validation, and issue resolution, specifically involving GPU and HPC clusters
- Expertise designing large-scale distributed systems, AI clusters, or HPC infrastructure
- Ability to communicate technical details to technical leaders and customer executives
- Ability to manage cross-functional communications among customers, product, support, and engineering teams
- Experience leading large-scale AI Factory or HPC cluster bring-ups or builds
- Hands-on experience with NVIDIA GPUs, NVLink, NVIDIA Networking, and deployment debugging
- Knowledge of NCCL, MPI, IMEX, NMX, and distributed-training collectives
- External customer-facing experience
- Effective time management and creative problem-solving across multiple tasks and customers
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
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.”
