Software Engineer - SRE or Production Engineering

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.

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.

Preferred Qualifications

• 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.