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AI Job Summary

Build automation and operational tooling for GPU infrastructure provisioning, lifecycle management, and production reliability at scale. You'll work hands-on with bare-metal NVIDIA systems, BMC and Redfish interfaces, and diagnose failures across hardware, networking, and Kubernetes. Need 5+ years production infrastructure experience, strong Go or Python skills, direct GPU hardware and DPU expertise, and proven on-call and incident response background. Base salary $152,000–$241,500 (Level 3) or $184,000–$287,500 (Level 4).

Written from this posting by Neural Jobs AI. The full description is below.

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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.

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  • Role Senior Software Engineer, SRE and Production Engineering - DGX Cloud
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type Remote
  • Location United States
Check my match (free)
NVIDIA
Hardware & Semiconductors · 200-500 Members · Santa Clara, CA, United States

NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.

Job Overview

Approx. salary range

204K – 298K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 65 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Hires remotely in the United States.
Workplace
Remote
Job Posted:
6 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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