NVIDIA
Software Engineer, SRE and Production Engineering - DGX Cloud
$184K–$288K
US, CA, Santa Clara +5 · Full-time · Posted Oct 9, 2026
- Location
- US, CA, Santa Clara
US, TX, Remote
US, VA, Remote
US, SD, Remote
US, UT, Remote
US, SC, Remote - Experience
- 8+ years.
- Education
- BS/MS in Computer Science or equivalent experience in a related field.
About the job
Build and operate software and automation that brings NVIDIA GPU infrastructure from bare-metal installation into reliable production service for DGX Cloud.
What you'll do
- Automate bare-metal provisioning, hardware validation, upgrades, repairs, and cluster lifecycle management.
- Develop BMC and Redfish tools for hardware health assessment, server control, and recovery workflows.
- Diagnose infrastructure failures, improve reliability through automated detection and repair, and participate in on-call response and root-cause analysis.
What they ask for
- 8+ years building software for or operating production infrastructure, including substantial hands-on bare-metal experience.
- Strong Go or Python skills and experience delivering production automation and services.
- Direct experience with BMC and Redfish, NVIDIA GPU hardware including NVL72, and BlueField-3 or later DPUs.
- Experience with Linux, firmware and driver management, network boot, server lifecycle, and production reliability practices.
Nice to have
- Experience operating BlueField DPUs in DPU mode or equivalent.
- Background with NVLink, InfiniBand, Spectrum-X, GPU cluster performance validation, or Kubernetes/GitOps tooling.
Pay
184,000 USD - 287,500 USD base salary
Tools
Go, Python, BMC, Redfish, NVL72, BlueField-3, Linux, Kubernetes
AI focus
Build and operate infrastructure for AI workloads; NVIDIA also uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative