NVIDIA Corporation

Senior Software Engineer, SRE and Production Engineering - DGX Cloud

NVIDIA Corporation • $152K — $287K *
Telecommunications & Hardware
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in production infrastructure software development or operations with hands-on bare-metal experience.
  • Proficient in Go or Python, with a track record of delivering production automation.
  • Familiar with BMC and Redfish for server management and fault diagnosis.
  • Experience with NVIDIA GPU hardware, specifically NVL72 systems and BlueField-3 DPUs.
  • Strong Linux, firmware, and driver management skills across the server lifecycle.
  • Experience in managing production reliability, including on-call duties and incident response.
  • Excellent problem-solving skills with communication abilities across teams.
  • BS/MS in Computer Science or equivalent practical experience.

Responsibilities

  • Build automation for provisioning, health validation, firmware upgrades, and cluster lifecycle management.
  • Develop tools to interact with BMC and Redfish for hardware monitoring and management.
  • Advance NVIDIA NVL72 systems and BlueField-3 DPUs in cloud and on-prem environments.
  • Diagnose server failures and automate detection and repair for recurring issues.
  • Define criteria for safe and consistent production capacity handoff.
  • Engage in on-call duties, incident responses, and root-cause analysis.
  • Collaborate with cross-functional teams to address issues effectively.

Benefits

  • Equity participation offered as part of the compensation package.
  • Comprehensive benefits package available.
  • Opportunities for professional growth within a cutting-edge AI infrastructure company.
Full 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.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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