Senior Software Engineer, SRE and Production Engineering - DGX Cloud

Senior Software Engineer, SRE and Production Engineering - DGX Cloud# CAREERS AT NVIDIA## Senior Software Engineer, SRE and Production Engineering - DGX CloudApply: Canada, Remote: Full time: Posted Yesterday: JR2028914NVIDIA 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. **What you’ll be doing:*** 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. **What we need to see:*** 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. **Ways to stand out from the crowd:*** 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!You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 6, 2026.This posting is for an existing vacancy. #J-18808-Ljbffr