Senior Solutions Architect, NVIDIA Cloud Partner Operations

NVIDIA•Santa Clara, CA
•$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 maintaining service health, adapting to changing 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 challenges, validate improvements, and make solutions reusable by other partners. This is not an outsourced operations role. NCPs own their clouds; the goal is to strengthen partner teams' capabilities rather than make them dependent on NVIDIA. The position also identifies recurring patterns across partners and shares evidence with account teams, support, product, and engineering.

Requirements

  • BS, MS, or PhD in Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or a related field, or equivalent experience.
  • 12+ years of experience 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.
  • An evidence-led approach to 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 by measuring factors such as incident frequency, recovery time, utilization, and cost per token, and assessing whether changes worked.
  • Identify and help close gaps in partner Day 2 maturity across people, processes, tooling, telemetry, security, and incident response.
  • Convert validated solutions into operating procedures, reference architectures, assessments, automation, and agentic workflows that other NCPs can adopt.
  • Identify patterns across partners and communicate field evidence to account teams, support, product, and engineering so recurring problems can be addressed.

Benefits

  • Equity
  • Benefits package
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