Software Engineer, SRE and Production Engineering - DGX Cloud

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

Job summary

NVIDIA Corporation DGX Cloud is seeking SRE/Production Engineer professionals with hands-on experience in bare-metal NVIDIA systems to build automation, validation, and lifecycle tooling for a large-scale IaaS BMaaS environment. You will work across hardware, networking, and platform teams to keep production capacity reliable and scalable.

The role emphasizes on-call duties, incident response, and durable, automated solutions for hardware and software failures, with a focus on GPU hardware and

Qualifications

• 8+ years building software for or operating production infrastructure.
• Strong Go or Python skills with a track record of delivering production automation and services.
• Direct experience with BMC and Redfish for server provisioning, health inspection, power control, or fault diagnosis.
• Practical experience with NVIDIA GPU hardware (NVL72) and BlueField-3 or later DPUs.
• Experience with Linux, firmware/driver management, network boot, and server lifecycle from provisioning to repair.
• Experience managing production reliability via on‑call duties, incident handling, and observability.

Responsibilities

• Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management.
• Develop tools using BMC and Redfish interfaces to assess hardware health and regulate server state.
• Manage and enhance NVL72 systems and BlueField DPUs in cloud and on-prem environments.
• Diagnose failures across servers, DPUs, GPUs, CPUs, networking, Linux, and Kubernetes; automate detection and repair.

Skills

Go

Python

Bare-metal infra

Kubernetes

On-call duties

Observability

Linux

Redfish

Tools

BMC

Redfish

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.

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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.