NVIDIA Corporation

Senior Infrastructure Automation Engineer, Compute Platform

NVIDIA Corporation$184K — $356K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS or MS in Computer Science or equivalent experience.
  • 6+ years in infrastructure engineering with expertise in configuration management (e.g., Ansible, Salt, Puppet, Chef).
  • Experience with GitOps at scale including review workflow and drift detection.
  • Proficiency in Go, Python, and shell scripting.
  • Experience automating stateful, long-lived infrastructure.

Responsibilities

  • Design and manage the configuration schema for LSF cell deployment.
  • Build a deployment pipeline for scheduler configuration across a federated estate.
  • Eliminate configuration drift and develop tools to maintain consistency.
  • Establish a regression suite for scheduled LSF upgrades.
  • Collaborate with engineers to encode scheduler knowledge into templates.

Benefits

  • Eligible for equity compensation.
  • Hybrid work model available.
  • Innovative work environment at a leading technology company.
Full Job Description

Managing twenty-five scheduler cells by hand does not scale, and we are not going to try. NVIDIA is building a config-as-code foundation for its EDA compute farm, and we need an automation engineer to own it end to end. You are joining at the point where this is still partially manual and inconsistently applied across cells. That is the interesting version of the problem — you will be migrating off partial systems and reconciling drift, not starting from a blank repository.

What you'll be doing:

  • Designing and owning the configuration schema for LSF cell deployment, so that a policy change is written once, reviewed, tested, and applied identically everywhere it belongs.

  • Building the deployment pipeline that takes scheduler configuration from merge to production across a federated estate, including staged rollout and rollback.

  • Eliminating configuration drift across cells, and building the tooling that keeps it eliminated.

  • Standing up the regression suite that lets us upgrade LSF on a schedule rather than on a dare.

  • Working alongside our LSF internals engineer to encode hard-won scheduler knowledge into templates and policy, so that expertise lives in the repository instead of in one person's head.

What we need to see:

  • BS or MS in Computer Science or equivalent experience.

  • 6+ years in infrastructure engineering with strong config management depth — Ansible, Salt, Puppet, Chef, or comparable.

  • Real experience with GitOps practice at scale: review workflow, environment promotion, drift detection, and safe rollback.

  • Proficiency in Go, Python and shell, and comfort building the tooling rather than only using it.

  • Experience automating stateful, long-lived infrastructure where you cannot simply destroy and recreate.

Ways to stand out from the crowd:

  • You have brought a manually administered estate under configuration management while it stayed in production.

  • Familiarity with LSF, Slurm, or another batch scheduler as a configuration target.

  • CI/CD experience for infrastructure, including test environments that meaningfully resemble production.

  • Observability instincts — you instrument what you automate.

#LI-Hybrid

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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and .

Applications for this job will be accepted at least until August 24, 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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