Senior Solutions Architect - Data Center Infrastructure

NVIDIA • Santa Clara, CA

8d • $152,000 - $287,500

About The Position

NVIDIA is seeking a hands-on, action-oriented Senior Solutions Architect focused on the technical execution needed to achieve hyperscaler-scale deployment of data center products. The role bridges product strategy and large-scale customer deployment, working across engineering, product, and sales teams. It calls for strong system-design skills, deep technical customer engagement, and preferably direct data center knowledge and experience debugging data center platforms.

The architect will help customers build high-performance, distributed AI infrastructure on-premises or in the cloud using NVIDIA GPU supercomputers. The role also provides technical support for GPU and networking products, helps resolve complex hardware and software issues, and uses deployment data and logs to evaluate product health and guide customers through technical roadblocks. Additional work includes identifying customer architectures and product requirements, developing technical solutions and demos, and delivering technical and sales training.

The position offers a base salary range of $152,000–$241,500 for Level 3 or $184,000–$287,500 for Level 4, determined by location, experience, and pay of employees in similar positions. The employee will also be eligible for equity and benefits. Applications will be accepted at least until October 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to an inclusive work environment.

Requirements

• BS, MS, PhD in Electrical/Computer Engineering, Computer Science, Physics, or another engineering field, or equivalent experience.
• At least 4 years of work-related experience in the high-tech electronics industry, particularly in system design or technical customer support roles.
• Technical competence to examine logs and deployment data and guide customers to resolve technical issues.
• Analytical and problem-solving abilities.
• Ability to excel in a dynamic, constantly evolving environment.
• Excellent written and oral communication skills in English, with the ability to collaborate effectively with management and engineering teams.

Nice To Haves

• Experience working in a Hyperscaler or Cloud Service Provider (CSP) environment, or extensive experience engaging with them as a strategic partner.
• Hands-on experience with NVIDIA hardware such as ARM CPU, H100, or GB200, and software libraries, including an understanding of performance tuning and error diagnostics.
• Established track record of driving a product from pilot phase to high-volume, at-scale deployment in a data center environment.
• Practical knowledge of NVIDIA systems technology such as NCCL, DCGM, and UFM.
• Knowledge of Embedded Linux Systems, APIs, and similar embedded operating systems.

Responsibilities

• Help architect and scale high-performance, distributed AI infrastructure on-premises or in the cloud using NVIDIA GPU supercomputers for new and existing customers.
• Act as a technical specialist on GPU and networking products, directly supporting sales account managers to secure design wins.
• Provide technical and onsite support to solve complex hardware and software problems, with a focus on deep learning inference.
• Collect, maintain, and analyze complex deployment data and logs to assess product health, identify technical challenges, and guide customers toward resolution of roadblocks.
• Establish and cultivate technical relationships with engineers and architects at key customer accounts.
• Identify customer architectures and key product requirements in the CSP/OEM AI market to efficiently implement NVIDIA solutions.
• Develop technical solutions, including hardware and software demos and example system designs.
• Provide technical and sales training to direct sales teams and channel partners.

Benefits

• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior