NVIDIA

Technology

SeniorSolutionsArchitect-DataCenterInfrastructure

$184–357k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Solutions Architect - Data Center Infrastructure at NVIDIA. Skills: Solutions Architecture, Data Center Infrastructure, AI Infrastructure, GPU Computing, Customer Engagement, Problem Solving. architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud built with the latest 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”

What You'll Achieve.

achieve Hyperscaler-scale deployment for our groundbreaking data center products; secure design wins; guide the customer to resolution of roadblocks; successfully implement NVIDIA's solutions; driving a product from the pilot phase to high-volume, at-scale deployment in a data center environment

Industry & Context.

Technology
Problems you'll solve

Expert analytical and problem-solving abilities; solve complex hardware and software problems; identify technical challenges; guide the customer to resolution of roadblocks

What They're Looking For.

Must Have

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience, 8+ years of work-related experience in the high-tech electronics industry, particularly in system design or technical customer support roles, Technical competence to roll up your sleeves, look at logs and deployment data, and guide a customer to the resolution of technical issues, Expert analytical and problem-solving abilities, Capable of excelling 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 Have

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 (e. g. , ARM CPU, H100, GB200) and software libraries, with an understanding of performance tuning and error diagnostics, Established track record of driving a product from the 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 OS

What You'll Do.

architect and scale high-performance

distributed AI infrastructure on-prem or in the cloud built with the latest 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

and analyze complex deployment data and logs to assess product health

identify technical challenges

and guide the customer to resolution of roadblocks

actively establish and nurture technical relationships with engineers and architects at key customer accounts

identify customer architectures and key product requirements in the CSP/OEM AI market to successfully implement NVIDIA's solutions

develop technical solutions including hardware & software demos and example system designs

offer technical and sales training to direct sales teams and channel partners

How You'll Work.

Team & Collaboration

technical execution across engineering, product, and sales teams; support to achieve Hyperscaler-scale deployment; directly supporting sales account managers; actively establish and nurture technical relationships with engineers and architects at key customer accounts; collaborate effectively with management and engineering teams

Communication Scope

Excellent written and oral communication skills in English

Full Job Description

Do you thrive on taking a strategic product from launch to go to market at scale across the world’s largest customers? NVIDIA is seeking a hands-on, action-oriented Senior Solutions Architect to join our team, focused on the technical execution across engineering, product, and sales teams and support to achieve Hyperscaler-scale deployment for our groundbreaking data center products. This role requires a strong passion for system design and a successful history of engaging with customers on a deep technical level, preferably with direct datacenter knowledge and experience debugging datacenter platforms. You will serve as a critical bridge between product strategy and large-scale customer deployment. **What you’ll be doing:** * Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud built with the latest 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 the customer to resolution of roadblocks. * Actively establish and nurture technical relationships with engineers and architects at key customer accounts. * Identify customer architectures and key product requirements in the CSP/OEM AI market to successfully implement NVIDIA's solutions. * Develop technical solutions including hardware & software demos and example system designs. * Offer technical and sales training to direct sales teams and channel partners. **What we need to see:** * BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. * 8+ years of work-related experience in the high-tech electronics industry,

Free ATS check

Applying for this Senior Solutions Architect - Data Center Infrastructure role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about NVIDIA?

Real rants from real employees. Read before you apply.

Read Company Rants →