Solutions Architect, AI Factory Infrastructure DevOps

NVIDIA • Austin, TX

16h • $152,000 - $287,500 • Onsite

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We seek a 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.

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 NCP, CSP, site reliability, and virtualization technologies (VMware, Linux KVM).
• 4+ years of working experience with Kubernetes, Slurm, Docker, etc.
• Proficiency with AI tools (Claud, Codex, Perplexity, etc.), Redfish, Grafana, and Prometheus.
• Remarkable talent for effectively handling multiple initiatives and priorities.
• Strong time-management and social 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.

Nice To Haves

• This role requires hands-on experience and extensive ability to solve problems within the customer infrastructure.
• Kubernetes (K8S) is an infrastructure-orchestration software platform (NVIDIA Mission Control).
• 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.

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 efficiently 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 design-in to end-of-life, ensuring detailed execution and customer satisfaction.
• Actively maintain the NVIDIA side of infrastructure components and collect findings at the customer site.
• Offer 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