07 Nov
|
NVIDIA
|
Toronto
Build production software for NVIDIA DGX Cloud, using Go or Python to automate bare-metal GPU infrastructure. Apply SRE expertise to large-scale AI workloads. As a Senior Software Engineer, you will create operational tooling that moves installed NVIDIA systems into IaaS production. Your work spans BMaaS, VMaaS, BMC, Redfish, Linux, and Kubernetes. You will support NVL72 systems and BlueField-3 or later DPUs across cloud partner and on-premises environments.
Key Responsibilities
Automate bare-metal provisioning, validation, upgrades, repair, and lifecycle management Develop BMC and Redfish tools for health and recovery workflows Diagnose failures across servers, DPUs, GPUs, networking, Linux,
and Kubernetes Define validation and handoff criteria for production capacity Participate in on-call response, root-cause analysis, and permanent fixes
Requirements:
12+ years building or operating production infrastructure Solid Go or Python production automation experience Hands-on bare-metal NVIDIA systems experience Experience with BMC, Redfish, Linux, firmware, drivers, and network boot BS/MS in Computer Science or equivalent practical experience Bring senior software engineering, GPU infrastructure, and production reliability expertise to NVIDIA DGX Cloud at scale. #J-18808-Ljbffr
📌 Senior GPU Infrastructure Software Engineer (Toronto)
🏢 NVIDIA
📍 Toronto