Senior Software Engineer, SRE and Production Engineering - DGX Cloud
NVIDIA· Engineer, Sys SW
Hybrid (Santa Clara, CA), Hybrid (Remote US/CA)$184k - $287.5kfull-timePosted 1w ago
About the role
Software engineering role focusing on SRE and production engineering for NVIDIA DGX Cloud, building automation and tooling for bare-metal GPU infrastructure and IaaS BMaaS/VMaaS production environment.
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 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.
Qualifications
- 8+ 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.
Skills
Required:GoPythonBMC/RedfishLinuxNVL72 GPUs / BlueField DPUs
Benefits
- equity
- benefits (see NVIDIA benefits page)
Last updated Oct 16, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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