Senior Solutions Architect, AI Factory Infrastructure Software Deployment

Details

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.

Responsibilities

• 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.

Requirements

• 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

• Kubernetes (K8s), infrastructure orchestration 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.

Compensation & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is:

• Level 3: 148,000 USD - 235,750 USD
• Level 4: 184,000 USD - 287,500 USD

You will also be eligible for equity and benefits. See https://www.nvidiabenefits.com/ for more information.

Other details

• Location: Santa Clara, CA, United States (see location field).
• Employment type: Full time.
• Applications for this job will be accepted at least until January 12, 2026.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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.