Solutions Architect, AI Factory Infrastructure DevOps

What you'll do

• Architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud using NVIDIA GPU supercomputers.
• Serve as a technical specialist on GPU and networking products to support sales account managers in securing build wins.
• Establish and nurture technical relationships with engineers, management, and architects at key customer accounts.
• Identify customer architectures and product requirements in the CSP/OEM AI market to implement NVIDIA solutions.
• Provide on-site support to resolve hardware and software problems, specifically focusing on deep learning inference.
• Lead the product through its entire lifecycle from design-in to end-of-life to ensure customer satisfaction.
• Maintain NVIDIA infrastructure components and collect technical findings at customer sites.
• Provide technical and sales training to direct sales teams and channel partners.

What we're looking for

• 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.
• 4+ years of working experience with Kubernetes, Slurm, and Docker.
• Proficiency with AI tools (Claude, Codex, Perplexity, etc.), Redfish, Grafana, and Prometheus.
• Excellent written and oral communication skills in English.
• Ability to handle multiple initiatives, manage time, and coordinate complex projects.
• Hands-on experience and extensive ability to solve problems within customer infrastructure (preferred).
• Practical knowledge of NVIDIA systems technology, such as DGX, GB200, and HGX systems (preferred).