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Senior Solutions Architect, AI Factory Infrastructure Software Deployment

NVIDIA · 2 Locations · workday

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Score: 89 S:10 R:45 D:25 C:9
First seen: 2026-01-29 · Last seen: 2026-02-10

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Why You're a Fit

Cloud platforms (AWS, Azure, hybrid)
Technical skills
"Experience with hybrid deployments (on-prem and Cloud)"
Cross-functional leadership with sales, marketing, product
Director, AI Emerging Tech, ServiceNow (2025-present)
"In this role, you will play a key role in introducing our advanced GPU products to deployments across data centers and edge computing"
Customer value realization focus
Director, AI Emerging Tech, ServiceNow (2025-present)
"...building and have a demonstrable track record of technical customer interactions, this is a prime opportunity to make a meaningful contribution..."
Hands-on with LLMs, PyTorch, CUDA, GPU inference
Senior Director, Generative AI, Teradata (2023-2025)
"Provide on-site support to solve hardware and software problems, with a focus on deep learning inference"
API-first cloud integration
Senior Director, Product Innovation, Boomi (2021-2023)
"Understanding of AI workloads and multi-library integration"
Saved $150M OPEX through automation initiatives
Track record
"Remarkable talent for effectively managing multiple initiatives and priorities"
Hit $10M sales building resellable innovation solutions
Track record
"We seek a Senior Solutions Architect to join our focused and hardworking AI Factory infrastructure deployment team"
LLMs & Generative AI (PyTorch, CUDA, GPU inference)
Technical skills
"Provide on-site support to solve hardware and software problems, with a focus on deep learning inference"

Job Description

We seek a Senior Solutions Architect to join our focused and hardworking AI Factory infrastructure deployment team. NVIDIA is at the forefront of the AI computing revolution, building innovative deep learning solutions that reshape industries worldwide. In this role, you will play a key role in introducing our advanced GPU products to deployments across data centers and edge computing. If you enjoy system building and have a demonstrable track record of technical customer interactions, this is a prime opportunity to make a meaningful contribution.

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.

  • Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure build wins.

  • Actively establish and nurture technical relationships with engineers, management, 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.

  • Provide on-site support to solve hardware and software problems, with a focus on deep learning inference.

  • Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution and customer happiness.

  • Actively maintain the NVIDIA side of infrastructure components and capture findings at the customer site.

  • Offer technical and sales training to direct sales teams and channel partners.

What we need to see:

  • BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).

  • 5+ years of work-related experience in high-tech IT companies with experience in AWS, Azure, GCP, and Virtualization Technologies (VMware, Linux KVM).

  • Understanding of AI workloads and multi-library integration.

  • Capable of excelling in a dynamic, constantly evolving environment.

  • Remarkable talent for effectively managing multiple initiatives and priorities.

  • Strong time-management and interpersonal skills for coordinating complex projects.

  • Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams.

Ways to stand out from the crowd:

  • Kubernetes (K8s), Infrastructure orchestrating software (NVIDIA Mission Control).

  • Experience with hybrid deployments (on-prem and Cloud).

  • Knowledge of Embedded Linux Systems, APIs, and similar embedded OS.

  • Practical knowledge of NVIDIA systems technology, such as DGX, GB200, and HGX systems, is a huge plus.

  • Experience working with OEMs in industrial, military, and ruggedized computing spaces.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 18, 2026.

This posting is for an existing vacancy. 

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.

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