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Senior Solutions Architect, NVIDIA Cloud Partner Operations

NVIDIA· Architect, Solutions
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Hybrid (Remote / Local)$224k - $356.5kfull-timePosted 2mo ago

About the role

Hands-on Solutions Architect to raise Day 2 operations bar across NVIDIA Cloud Partner ecosystem, solving Day 2 problems at scale, preparing operating models for new NVIDIA platforms, and turning validated work into reusable ecosystem capabilities.

Responsibilities

  • Solve hard Day 2 operations problems at scale. Work alongside partner engineers to find the cause, prototype an approach, validate it under representative load, and leave behind a practice their team can operate.
  • Make new technology Day 2 ready. Help partners prepare the operating model for new NVIDIA platforms, capacity, services, and use cases before customers depend on them, and help drive adoption in live environments without degrading service.
  • Improve reliability, performance, and economics together. Use measures such as incident frequency, recovery time, utilization, and cost per token to show where the cloud is losing performance or margin - and whether the fix worked.
  • Raise each partner's Day 2 maturity. Identify and help close the gaps that matter across people, process, tooling, telemetry, security, and incident response.
  • Turn one solution into ecosystem capability. Convert validated work into operating procedures, reference architectures, assessments, automation, and agentic workflows that other NCPs can integrate into their standard operating model.
  • Create the feedback loop only NVIDIA can. Spot patterns across partners early and bring clear field evidence to account teams, support, product, and engineering so repeated problems are fixed at the right level.

Qualifications

  • 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, backed 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 tooling.
  • Strong Linux knowledge and enough Python, Bash, or similar experience to automate measurement, diagnosis, validation, or remediation.
  • A detailed evidence-led approach to troubleshooting across system boundaries, paired with the judgment to make difficult technical findings clear.
  • The 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.

Skills

Required:Day 2 operations expertiseDistributed infrastructure under production loadKubernetes or SlurmGPU scheduling and multi-tenancyPrometheus, Grafana, OpenTelemetryTerraform, Ansible, Argo CDLinuxPython, BashTroubleshooting across system boundaries

Benefits

  • equity
  • competitive salaries and a generous benefits package
  • benefits (see company benefits page)
Last updated Aug 14, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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