Software Engineer, SRE, Production Engineering – DGX Cloud

NVIDIA  ยท  via Get Backend Jobs
๐Ÿ’ฐ $184,000 - $287,500/yr ๐ŸŒŽ Remote ๐Ÿ“ Remote, California โฐ Full Time

Job Description:

  • Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management
  • Build tools using BMC and Redfish interfaces to assess hardware health, regulate server state, and facilitate recovery workflows
  • Manage and enhance NVIDIA NVL72 systems and BlueField-3 or later DPUs within cloud partner and on-premises environments
  • Diagnose failures across servers, DPUs, GPU systems, CPU systems, networking, Linux, and Kubernetes; turn recurring issues into automated detection and repair
  • Define validation and handoff criteria so new capacity enters production safely and consistently
  • Take part in on-call duties, incident response, root-cause analysis, and ensure permanent resolutions are implemented
  • Collaborate with hardware, networking, platform, data center operations, and partner teams to resolve issues across ownership boundaries

Requirements:

  • 8+ years building software for or operating production infrastructure, including substantial hands-on bare-metal experience
  • Strong Go or Python skills, with a record of delivering production automation and services
  • Direct experience working with BMC and Redfish for server provisioning, health inspection, power control, or fault diagnosis
  • Practical experience working directly with NVIDIA GPU hardware, including NVL72 systems, and BlueField-3 or later DPUs
  • Experience with Linux, firmware and driver management, network boot, and the server lifecycle from initial provisioning through repair
  • Experience managing production reliability via on-call duties, incident handling, observability, and durable solutions
  • Ability to debug failures across hardware, host operating systems, networking, and distributed services
  • Clear communication and demonstrated ownership of problems that span multiple teams
  • BS/MS in Computer Science or equivalent experience in a related field
  • Experience operating BlueField DPUs in DPU mode, including host-to-DPU connectivity and lifecycle debugging, or equivalent experience
  • Background with NVLink, InfiniBand, Spectrum-X, or GPU cluster performance validation
  • Experience building safe, repeatable workflows for rack-scale bringup, firmware upgrades, hardware replacement, and customer handoff
  • Background with Kubernetes, GitOps, Argo CD, SLOs, and fleet-wide automation

Benefits:

  • Equity
  • Benefits