Senior Software Engineer, SRE and Production Engineering - DGX Cloud

NVIDIA DGX Cloud builds and operates large-scale GPU infrastructure for AI workloads. We are looking for Software Engineers with SRE or Production Engineering experience who have worked hands-on with bare-metal NVIDIA systems. This team builds the software and operational tooling that moves GPU capacity from installed hardware to production service supporting an IaaS production environment of BMaaS, VMaaS.

• →Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management.
• →Develop tools that interact with BMC and Redfish interfaces to monitor hardware health, manage server state, and assist recovery workflows.
• →Handle and advance NVIDIA NVL72 systems and BlueField-3 or later DPUs throughout 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 follow-up to implement permanent solutions.
• →Work with hardware, networking, platform, data center operations, and partner teams to resolve issues across ownership boundaries.

• 12+ 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 with BMC and Redfish in server provisioning, health inspection, power management, or fault diagnosis.
• Practical experience working directly with NVIDIA GPU hardware, such as NVL72 systems, and BlueField-3 or newer DPUs.
• Experience with Linux, firmware and driver management, network boot, and the server lifecycle from initial provisioning through repair.
• Experience managing production reliability through on-call duties, incident response, 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 practical setting.

• Experience operating BlueField DPUs in DPU mode, including host-to-DPU connectivity and lifecycle debugging, with DPU or equivalent experience considered.
• 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.
• Experience with Kubernetes, GitOps, Argo CD, SLOs, and fleet-wide automation.

At NVIDIA, you’ll help make next-generation AI infrastructure production-ready at scale!

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.