Publié il y a 8 jours
Senior Software Engineer, SRE and Production Engineering - DGX Cloud
@ NVIDIA Canada Dev. Inc.
Télétravail au Canada
En bref
NVIDIA Canada Dev. Inc. is hiring a Senior Software Engineer for SRE and Production Engineering on its DGX Cloud team. The role builds automation and operational tooling that moves GPU capacity from installed hardware into production, with on-call and incident duties. Base salary is 170,000 to 220,000 CAD, plus equity and benefits, and applications are accepted until November 7, 2026.
Responsabilités :
- Build automation for bare-metal provisioning, validation and firmware upgrades
- Develop BMC and Redfish tools for hardware health and recovery
- Handle NVL72 systems and BlueField-3 DPUs across cloud and on-premises sites
- Diagnose failures across servers, networking, Linux and Kubernetes
- Take part in on-call, incident response and root-cause analysis
Résumé des exigences :
- 12+ years of production infrastructure or software experience
- Strong Go or Python skills with production automation delivery
- Hands-on BMC and Redfish experience
- Practical NVIDIA GPU hardware experience, including NVL72 and BlueField-3
- BS/MS in Computer Science or equivalent practical experience
Outils et compétences
Source et dates
Site carrière / système de candidatures · workday
- Date publiée par l’employeur
- 2026-11-02
- Première détection par notre source
- 2026-11-02
- Mise à jour du dossier source
- 2026-11-03
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 12 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Laboratoire |
| Position | Assis et debout |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (préféré), Maîtrise (préféré) |
| Domaines d’études | Computer Science |
| Avantages mentionnés | Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
NVIDIA Canada Dev. Inc.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 20 |
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+ 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!
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.
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