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Senior Software Engineer, SRE and Production Engineering - DGX Cloud

NVIDIA· Engineer, Sys SW
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Hybrid (Santa Clara, CA), Remote$152k - $241.5k + equityFull-timePosted 3w ago

About the role

Software Engineer with SRE/Production Engineering focus for NVIDIA DGX Cloud, building and operating large-scale GPU infrastructure with bare-metal systems, BMC/Redfish tooling, and cloud production services (BMaaS, VMaaS).

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

  • 5+ 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:GoPythonBMCRedfishLinux
Nice to have:KubernetesDPUs / BlueFieldNVLink / InfiniBandHVAC/Hardware lifecycle

Benefits

  • equity
  • benefits (as listed in job posting)
Last updated Oct 2, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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