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Senior Software Engineer, SRE and Production Engineering - DGX Cloud

DevOps Full-time Permanent Canada

Job details

Not specified Salary
Canada Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Build the software and operational tooling that brings bare-metal GPU capacity into reliable production cloud services. The work spans server provisioning, hardware and firmware lifecycle management, fleet health, and incident response across data center and partner environments.

Responsibilities - Automate bare-metal provisioning, hardware checks, firmware and software upgrades, repairs, and cluster lifecycle tasks. - Build tools using server management interfaces to inspect hardware health, manage machine state, and support recovery. - Operate GPU systems and data processing units across hosted and on-premises environments. - Diagnose failures across servers, accelerators, processors, networking, Linux, and Kubernetes; automate detection and repair of recurring issues. - Establish validation and handoff criteria so new capacity can enter production consistently and safely. - Participate in on-call rotations, incident response, root-cause analysis, and permanent corrective work with partner teams.

Requirements - At least 12 years building or operating production infrastructure, including substantial hands-on bare-metal work. - Strong Go or Python skills and experience delivering production automation or services. - Direct experience with BMC and Redfish for provisioning, health checks, power control, or fault diagnosis. - Practical experience with GPU hardware and BlueField-3 or newer data processing units. - Experience with Linux, firmware and driver management, network boot, and server provisioning through repair. - Background in production reliability, including on-call response, observability, and durable issue resolution; ability to debug across hardware, operating systems, networks, and distributed services. - Bachelor’s or master’s degree in computer science, or equivalent practical experience.

Nice to have - Data processing unit operations, including host connectivity and lifecycle debugging. - Experience with NVLink, InfiniBand, Spectrum-X, or GPU cluster performance validation. - Rack-scale deployment, firmware upgrade, hardware replacement, and customer handoff workflows. - Kubernetes, GitOps, Argo CD, service-level objectives, or fleet-wide automation.

Benefits and work setup The role includes equity and employee benefits. On-call duties are part of the work.

Skills detected in the listing

PythonGoKubernetes
Detected Nov 3, 2026
Last verified Nov 12, 2026

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