Day-2 Cloud Solutions Architect for Partner Ops

NVIDIA Corporation; Santa Clara (CA); On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a hands-on Solutions Architect to elevate Day 2 operations across the NVIDIA Cloud Partner ecosystem. You’ll tackle scale, reliability, and economics of AI clouds, working with partner engineers to operationalize new NVIDIA platforms and drive adoption in live environments.

You’ll apply deep Linux expertise, scripting, and automation to reduce incident frequency and improve performance, while guiding partners to mature their Day 2 capabilities and operating models.

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.

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.

Skills

Hands-on infra

Linux proficiency

Python scripting

Troubleshooting

Cross-functional leadership

Communication

Time management

Education

BS/MS/PhD in CS/engineering/physics

Tools

DCGM

Redfish

UFM

NCCL

Prometheus

Grafana

OpenTelemetry

Terraform

Ansible

Argo CD

Kubernetes

Job description

NVIDIA is seeking a hands-on Solutions Architect to elevate Day 2 operations across the NVIDIA Cloud Partner ecosystem. You’ll tackle scale, reliability, and economics of AI clouds, working with partner engineers to operationalize new NVIDIA platforms and drive adoption in live environments.

You’ll apply deep Linux expertise, scripting, and automation to reduce incident frequency and improve performance, while guiding partners to mature their Day 2 capabilities and operating models.