3 days ago
Base Salary
$184k - $288k/yr
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 NVIDIA NVL72 systems and BlueField-3 or later DPUs across cloud partner and on-premises environments.
- Diagnose failures across servers, DPUs, GPUs, CPUs, networking, Linux, Kubernetes, and distributed services, and automate detection and repair.
- Define validation and handoff criteria for safely and consistently entering new capacity into production.
- Participate in on-call duties, incident response, observability, root-cause analysis, and permanent remediation.
- Collaborate with hardware, networking, platform, data center operations, and partner teams on cross-functional issues.
Requirements
- 8+ 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.
- Practical 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 full 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 background with NVLink, InfiniBand, Spectrum-X, or GPU cluster performance validation.
- Preferred experience building workflows for rack-scale bringup, firmware upgrades, hardware replacement, and customer handoff.
- Preferred experience with Kubernetes, GitOps, Argo CD, SLOs, and fleet-wide automation.
Benefits
- Equity and benefits are provided.
- Base salary is determined by location, experience, and comparable employee pay, with a stated range of 184,000 USD to 287,500 USD.
- Applications will be accepted at least until October 16, 2026.
- The 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.