Description review
Senior Software Engineer, SRE and Production Engineering - DGX Cloud
NVIDIA · Canada · back to the listing
HR standards
63/100
needs work
Title ↔ description
88/100
strong
Reads as
Site Reliability Engineer
97% confident
What this role officially is
ICT system administrator — ESCO, the EU occupation classification
ICT system administrators are responsible for the upkeep, configuration, and reliable operation of computer and network systems, servers, workstations and peripheral devices. They may acquire, install, or upgrade computer components and software; automate routine tasks; write computer programs; troubleshoot; train and supervise staff; and provide technical support. They ensure optimum system integrity, security, backup and performance.
Also known as: enterprise administrator, IT system administrator, ICT systems administrator, ICT sysadmins, IT systems administrator, ICT sysadmin
How others title the same work
Large employers
- Senior Site Reliability / Gitops Engineer Canonical
- Senior Site Reliability / Gitops Engineer Canonical Ltd.
- Senior Site Reliability Engineer Canonical Ltd.
- Site Reliability / Gitops Engineer Canonical Ltd.
- Site Reliability Engineer Canonical Ltd.
Startups
- Senior Software Engineer, Product Infrastructure Atlas
- Site Reliability Engineer Beam
What the listing never says
- 20 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
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.
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+ years1 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!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 170,000 CAD – 220,000 CAD.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 7, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
Originally posted on Himalayas
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+ years1 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!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 170,000 CAD – 220,000 CAD.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 7, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
Originally posted on Himalayas