Senior Software Engineer, SRE and Production Engineering - DGX Cloud

NVIDIA Corporation; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity and benefits

Job summary

NVIDIA Corporation in Santa Clara, CA is seeking Software Engineers with SRE or Production Engineering experience to manage large-scale GPU infrastructure for IaaS BMaaS and VMaaS.

You will automate bare-metal provisioning, hardware validation, firmware and software upgrades, and lifecycle management; build tools interfacing with BMC/Redfish for health checks and state management; and work across NVL72 systems and BlueField DPUs while handling on‑call duties and incident response.

Qualifications

• 5+ years building software for or operating production infrastructure, including bare-metal experience.
• Strong Go or Python skills with a track record of production automation.
• Direct experience with BMC and Redfish in server provisioning, health inspection, power management, or fault diagnosis.
• Practical experience with NVIDIA GPU hardware (NVL72) and BlueField DPUs.

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 to monitor hardware health, manage server state, and assist recovery workflows.
• Handle and advance NVL72 systems and BlueField DPUs across cloud partner and on-prem environments.
• Diagnose failures across servers, DPUs, GPUs, CPUs, networking, Linux, and Kubernetes; convert recurring issues into automated detection and repair.
• Define validation and handoff criteria so new capacity enters production safely and consistently.
• Participate in on-call duties and incident response; perform root-cause analysis and implement durable solutions.

Skills

Go

Python

SRE

Production engineering

Bare-metal

BMC/Redfish

NVL72

BlueField-3

Linux

On-call

Incident response

Observability

Kubernetes

Education

BS/MS in Computer Science or equivalent

Tools

BMC

Redfish

Kubernetes

NVL72

BlueField-3

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 you’ll be doing 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.

What we need to see: 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.

Ways to stand out from the crowd: Experience operating BlueField DPUs in DPU mode, including host‑to‑DPU connectivity and lifecycle debugging, with DPU or equivalent experience considered.

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.

Experience with Kubernetes, GitOps, Argo CD, SLOs, and fleet‑wide automation.

At NVIDIA, you’ll help make next‑generation AI infrastructure production‑ready at scale!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 3, 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.