Senior Bare-Metal GPU Infra SRE – Kubernetes & DPUs | Equity

NVIDIA Corporation

Santa Clara (CA)

Vor Ort

USD 152.000 - 288.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Equity
Benefits

Zusammenfassung

NVIDIA DGX Cloud engineers build and operate large-scale GPU infrastructure for AI workloads. You will contribute to production systems and automation across bare-metal provisioning, firmware upgrades, and cluster lifecycle management.

The role emphasizes hands-on experience with BMC/Redfish, Linux, and Kubernetes, plus on-call incident handling. NVIDIA values ownership and collaboration across hardware, networking, and data-center teams.

Qualifikationen

  • 5+ years building software for or operating production infrastructure.
  • Strong Go or Python skills with production automation.
  • Direct experience with BMC and Redfish in provisioning or diagnostics.
  • Practical experience with NVIDIA GPU hardware and DPUs.

Aufgaben

  • Build automation for bare-metal provisioning, hardware validation, firmware upgrades, repair, and cluster lifecycle management.
  • Develop tools that interact with BMC and Redfish interfaces to monitor hardware health and manage server state.
  • Handle NVIDIA NVL72 systems and BlueField DPUs across cloud and on-prem environments.
  • Diagnose failures across servers, DPUs, GPUs, CPUs, networking, Linux, and Kubernetes; automate detection and repair.
  • Define validation and handoff criteria for safe, consistent capacity entry into production.
  • Participate in on-call duties, incident response, root-cause analysis, and durable follow-ups.

Kenntnisse

Go
Python
Kubernetes
Linux
Observability

Ausbildung

BS/MS in Computer Science

Tools

BMC
Redfish
Argo CD
GitOps

Jobbeschreibung

NVIDIA DGX Cloud engineers build and operate large-scale GPU infrastructure for AI workloads. You will contribute to production systems and automation across bare-metal provisioning, firmware upgrades, and cluster lifecycle management.

The role emphasizes hands-on experience with BMC/Redfish, Linux, and Kubernetes, plus on-call incident handling. NVIDIA values ownership and collaboration across hardware, networking, and data-center teams.

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