4 days ago
Remote, CanadaSenior
Responsibilities
- Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management.
- Develop tools using BMC and Redfish interfaces to monitor hardware health, manage server state, and support recovery workflows.
- Operate and advance NVIDIA NVL72 systems and BlueField-3 or later DPUs across cloud partner and on-premises environments.
- Diagnose failures across servers, DPUs, GPU and CPU systems, networking, Linux, and Kubernetes, and automate recurring detection and repair.
- Define validation and handoff criteria for safely and consistently moving new capacity into production.
- Participate in on-call duties, incident response, root-cause analysis, and permanent remediation.
- Collaborate with hardware, networking, platform, data center operations, and partner teams on cross-functional issues.
Requirements
- 12+ years building software for or operating production infrastructure, including substantial hands-on bare-metal experience.
- Strong Go or Python skills and a record of delivering production automation and services.
- Direct experience with BMC and Redfish for server provisioning, health inspection, power management, or fault diagnosis.
- Hands-on experience 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 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 ownership of problems spanning multiple teams.
- BS/MS in Computer Science or equivalent practical experience.
- Preferred experience operating BlueField DPUs in DPU mode, including host-to-DPU connectivity and lifecycle debugging.
- Preferred experience with NVLink, InfiniBand, Spectrum-X, GPU cluster performance validation, rack-scale bringup, firmware upgrades, hardware replacement, customer handoff, Kubernetes, GitOps, Argo CD, SLOs, and fleet-wide automation.
Benefits
- Eligible for equity and benefits.
- Applications will be accepted at least until November 6, 2026.
- This posting is for an existing vacancy.
Tech Stack
Categories
DevOpsSite Reliability
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.