About The Position
NVIDIA DGX Cloud builds and operates large-scale GPU infrastructure for AI workloads. The Senior Software Engineer will build software and operational tooling that moves GPU capacity from installed hardware into production, supporting an IaaS environment for BMaaS and VMaaS. The role focuses on bare-metal NVIDIA systems and production engineering across cloud partner and on-premises environments. The engineer will develop automation for provisioning, validation, upgrades, repair, and cluster lifecycle management; build tools for BMC and Redfish interfaces; and help operate NVIDIA NVL72 systems and BlueField-3 or newer DPUs. The role includes diagnosing issues across hardware and software layers, defining safe capacity handoff criteria, participating in on-call and incident response, and collaborating with hardware, networking, platform, data center operations, and partner teams. The position offers a base salary range of $184,000–$287,500, with eligibility for equity and benefits. Applications will be accepted at least until October 16, 2026. The posting is for an existing vacancy.
Requirements
- At least 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 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 skills and demonstrated ownership of problems spanning multiple teams.
- BS/MS in Computer Science or equivalent experience in a practical setting.
Nice To Haves
- Experience operating BlueField DPUs in DPU mode, including host-to-DPU connectivity and lifecycle debugging; equivalent DPU experience is also 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.
Responsibilities
- 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 in cloud partner and on-premises environments.
- Diagnose failures across servers, DPUs, GPU systems, CPU systems, networking, Linux, and Kubernetes, and automate detection and repair of recurring issues.
- Define validation and handoff criteria so new capacity enters production safely and consistently.
- Participate in on-call duties, incident response, and root-cause analysis, and implement permanent solutions.
- Work with hardware, networking, platform, data center operations, and partner teams to resolve issues across ownership boundaries.
Benefits
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
