Senior Solutions Architect, NVIDIA Cloud Partner Operations

NVIDIA • Santa Clara, CA

11d • $224,000 - $356,500

About The Position

NVIDIA is seeking a hands-on Solutions Architect to improve Day 2 operations across its NVIDIA Cloud Partner (NCP) ecosystem. Day 2 operations begin after a cluster is installed and validated and focus on keeping services healthy, adapting to changes in technology and customer demand, and improving performance, stability, efficiency, and economics over time. The role works directly with engineers operating AI clouds at scale to solve operational problems, validate improvements, and make effective practices reusable across partners. It is not an outsourced operations role: NCPs retain ownership of their clouds, and the goal is to leave partner teams more capable and independent.

The role supports partners in preparing operational models for new NVIDIA platforms, capacity, services, and use cases; improving reliability, performance, and economics; and strengthening maturity across people, processes, tooling, telemetry, security, and incident response. It also turns validated solutions into reusable operating procedures, reference architectures, assessments, automation, and agentic workflows, and communicates recurring field issues to NVIDIA account, support, product, and engineering teams.

The position requires substantial production infrastructure experience, hands-on expertise in at least one part of the Day 2 stack, familiarity with broader cloud operating platforms, strong troubleshooting and automation skills, and the ability to lead partner and cross-functional work without taking operational ownership away from the partner. The expected base salary range is USD 224,000–356,500. The role is eligible for equity and benefits. Applications will be accepted at least until November 3, 2026. This posting is for an existing vacancy.

Requirements

• BS, MS, or PhD in Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or a related field, or equivalent experience.
• 12+ years in production infrastructure, cloud engineering, solutions architecture, site reliability engineering, HPC, or a similar technical role; alternatively, 5+ years of exceptional specialist-level work in large-scale GPU or AI infrastructure.
• Experience building, operating, or improving distributed infrastructure under real production load, not only designing or deploying it.
• Deep expertise in at least one part of the Day 2 stack, supported by hands-on work with large-scale GPU, HPC, or cloud infrastructure.
• Working experience across the broader operating platform, including Kubernetes or Slurm, GPU scheduling and multi-tenancy, Prometheus, Grafana or OpenTelemetry, and automation with Terraform, Ansible, Argo CD, or similar tools.
• Strong Linux knowledge and enough Python, Bash, or similar experience to automate measurement, diagnosis, validation, or remediation.
• Evidence-led troubleshooting across system boundaries and the judgment to communicate difficult technical findings clearly.
• Ability to lead sophisticated work with partner engineers and cross-functional teams without direct authority or taking ownership away from the operator.
• Strong communication, prioritization, and time-management skills across multiple partner engagements.

Nice To Haves

• Real-world experience operating a GPU cloud, HPC environment, or large-scale AI platform under customer load.
• Experience building or maturing a 24/7 operations function, including observability, incident and problem management, coverage, and on-call design.
• Hands-on experience bringing NVIDIA rack-scale platforms such as GB200 or GB300 NVL72 into production, or using NVIDIA operations technologies such as Spectrum-X, UFM, Base Command Manager, Mission Control, and the GPU or Network Operators.
• Experience improving fleet health or unit economics through benchmarking, infrastructure as code, GitOps, automated diagnosis, or agent-based remediation.

Responsibilities

• Work alongside partner engineers to diagnose large-scale Day 2 operations problems, prototype solutions, validate them under representative load, and establish practices partner teams can operate.
• Help partners prepare operating models for new NVIDIA platforms, capacity, services, and use cases, and support adoption in live environments without degrading service.
• Improve reliability, performance, and economics using measures such as incident frequency, recovery time, utilization, and cost per token, and assess whether improvements work.
• Identify and help close partner maturity gaps in people, processes, tooling, telemetry, security, and incident response.
• Turn validated solutions into reusable operating procedures, reference architectures, assessments, automation, and agentic workflows for use across NCPs.
• Identify patterns across partners and provide evidence to NVIDIA account teams, support, product, and engineering to help address recurring problems.

Benefits

• Competitive salaries and a generous benefits package
• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior