Senior Solutions Architect, NVIDIA Cloud Partner Operations

What you'll do

• Troubleshoot and validate large-scale Day 2 operational improvements with partner engineers, leaving behind practices partners can operate.
• Prepare partners to operate new NVIDIA platforms and services, and improve reliability, performance, and economics using operational measures.
• Turn validated solutions into reusable procedures, architectures, assessments, automation, and agentic workflows; share recurring issues with NVIDIA teams.

What they ask for

• BS, MS, or PhD in Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or a related field—or equivalent experience.
• Production infrastructure, cloud engineering, solutions architecture, site reliability engineering, HPC, or similar experience: 12+ years, or alternatively 5+ years of exceptional specialist-level work in large-scale GPU or AI infrastructure.
• Experience building, operating, or improving distributed infrastructure under production load; hands-on expertise in at least one part of the Day 2 stack.
• Working experience across the broader operating platform, strong Linux knowledge, and enough Python, Bash, or similar experience to automate operational work.

Nice to have

• Experience operating a GPU cloud, HPC environment, or large-scale AI platform under customer load; or maturing a 24/7 operations function.
• Hands-on experience with NVIDIA rack-scale platforms or operations technologies, or improving fleet health or unit economics through automation and related practices.

Pay

224,000 USD - 356,500 USD base salary

Tools

DCGM, BMC/Redfish, InfiniBand, NCCL, UFM, Kubernetes, Slurm, Prometheus

AI focus

Operational readiness and improvement of production AI cloud infrastructure; the role also develops reusable agentic workflows and may use agent-based remediation.