Software Engineer, SRE and Production Engineering - DGX Cloud

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, CA is seeking Software Engineers with SRE or Production Engineering experience to help make bare-metal GPU infrastructure production-ready at scale.

You will build automation for provisioning, hardware validation, firmware upgrades, and cluster lifecycle management; work with NVL72 systems and BlueField DPUs; diagnose failures; participate in on-call and incident response; collaborate across hardware, networking, and platform teams.

Qualifications

• 8+ years building software for or operating production infrastructure.
• Hands-on bare-metal experience with GPU hardware and server hardware.
• Strong Go or Python skills and production automation delivery.
• BS/MS in Computer Science or related field.

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 and regulate server state.
• Manage NVIDIA NVL72 systems and BlueField DPUs in various environments.
• Diagnose failures across servers, DPUs, GPUs, CPUs, networking, Linux, and Kubernetes; automate fixes.
• Define validation criteria for new capacity entering production safely.
• Participate in on-call duties, incident response, and root-cause analysis.
• Collaborate with cross-functional teams to resolve issues.

Skills

Go

Python

Production automation

On-call experience

Linux

Education

BS/MS in Computer Science

Tools

BMC

Redfish

NVL72

BlueField DPUs

Kubernetes

GitOps

Argo CD

Job 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.

What makes this opportunity outstanding is the chance to work with innovative technology to develop the future of AI computing. Join us to be part of a world‑class team and make an impact on the next era of computing! At NVIDIA, you’ll help make next‑generation AI infrastructure production‑ready at scale!

What you’ll be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• 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.

Applications for this job will be accepted at least until October 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.