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Software Engineer, SRE and Production Engineering - DGX Cloud

NVIDIA· Engineer, Sys SW
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Santa Clara, CA, Remote$184k - $287.5kfull-timePosted 1w ago

About the role

NVIDIA DGX Cloud builds and operates large-scale GPU infrastructure for AI workloads. Seeking Software Engineers with SRE/Production Engineering experience, hands-on with bare-metal NVIDIA systems, to develop automation and tooling for BMaaS/VMaaS in an IaaS production environment.

Responsibilities

  • Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management.
  • Build tools using BMC and Redfish interfaces to assess hardware health, regulate server state, and facilitate recovery workflows.
  • Manage and enhance NVIDIA NVL72 systems and BlueField-3 or later DPUs within 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 ensure permanent resolutions are implemented.
  • Collaborate 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 working with BMC and Redfish for server provisioning, health inspection, power control, or fault diagnosis.
  • Practical experience working directly with NVIDIA GPU hardware, including NVL72 systems, and BlueField-3 or later DPUs.
  • Experience with Linux, firmware and driver management, network boot, and the server lifecycle from initial provisioning through repair.
  • Experience managing production reliability via on-call duties, incident handling, 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 related field.

Skills

Required:GoPythonBMC and Redfish

Benefits

  • equity
  • benefits (as per company 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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