Software Engineer, SRE and Production Engineering - DGX Cloud

NVIDIA DGX Cloud builds and operates large-scale GPU infrastructure for AI workloads. The Software Engineer will develop automation and operational tooling for bare-metal provisioning, hardware validation, upgrades, repair, and cluster lifecycle management while supporting production reliability, incident response, and cross-functional infrastructure operations.

Responsibilities:

• 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