# Software Engineer - SRE or Production Engineering

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Salary**: 184,000 USD - 287,500 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Software-Engineer--SRE-and-Production-Engineering---DGX-Cloud_JR2026802?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d8bd405a-4ab

## Description

NVIDIA DGX Cloud builds and operates large-scale GPU infrastructure for AI workloads. We are looking for Software Engineers with SRE or Production Engineering experience who have worked hands-on with bare-metal NVIDIA systems.

This team builds the software and operational tooling that moves GPU capacity from installed hardware to production service supporting an IaaS production environment of BMaaS, VMaaS.

**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.

**Requirements**

- 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.

**Preferred Qualifications**

- Experience operating BlueField DPUs in DPU mode, including host-to-DPU connectivity and lifecycle debugging, or equivalent experience.

- 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.

- Background with Kubernetes, GitOps, Argo CD, SLOs, and fleet-wide automation.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

## Skills

### Required
- Go
- Python
- BMC
- Redfish
- Linux
- Kubernetes
- NVIDIA GPU hardware
- BlueField-3 DPUs

### Nice to have
- BlueField DPUs in DPU mode
- NVLink
- InfiniBand
- Spectrum-X
- GPU cluster performance validation
- GitOps
- Argo CD
- SLOs

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Software-Engineer--SRE-and-Production-Engineering---DGX-Cloud_JR2026802?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)