NVIDIA Corporation

Senior Infrastructure Software Engineer, TensorRT Edge-LLM

NVIDIA Corporation$184K — $287K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS or equivalent experience in Computer Science or Computer Engineering
  • 7+ years of proven experience
  • Strong programming skills in Python (or similar)
  • Experience with continuous integration tools like Jenkins and GitHub Actions
  • Experience administering systems on cloud platforms like AWS, GCP, or Azure
  • Fluency in source control management and build systems

Responsibilities

  • Build and maintain infrastructure for TensorRT Edge-LLM
  • Maintain CI/CD pipelines for automation of build and deployment
  • Configure and enhance industry-standard tools like CMake and Docker
  • Develop software across the entire stack from user interfaces to cluster layers
  • Monitor and configure CPU and GPU systems for CI/CD reliability
  • Handle scans and security CVEs for infrastructure components

Benefits

  • Eligibility for equity
  • Access to comprehensive benefits package
  • Flexible work environment with hybrid options
Full Job Description
We are now seeking a Senior Infrastructure Software Engineer for NVIDIA TensorRT Edge-LLM!

What you'll be doing:
  • Building and maintaining infrastructure from first principles needed to deliver TensorRT Edge-LLM
  • Maintaining CI/CD pipelines to automate the build, test, and deployment process and improve build and test bottlenecks
  • Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. CMake, GitLab, GitHub Actions, Kubernetes, Docker, etc.)
  • Developing throughout the software stack, from the user experience and user interfaces down to the cluster layers
  • Monitoring and configuring embedded and desktop CPU and GPU systems to ensure high CI/CD reliability
  • Enable performing scans and handling of security CVEs for infrastructure components


What we need to see:
  • BS or equivalent experience or higher degree in Computer Science or Computer Engineering
  • 7+ years of proven experience
  • Strong programming skills in Python (or similar) and familiarity with modern C/C++ development
  • Experience setting up, maintaining, and automating continuous integration systems (e.g. Jenkins, GitHub Actions, GitLab CI)
  • Experience administering, monitoring, and deploying systems and services on GitHub and cloud platforms (e.g. AWS, GCP, Azure)
  • Fluency in SCM (e.g. Git, Perforce) and build systems (e.g. CMake, Make, Bazel)


Ways to stand out from the crowd:
  • Experience in defining and owning the DevOps strategy (design patterns, reliability and scaling) for a team or organization
  • Deep understanding of test automation infrastructure, framework, and test analysis
  • Familiarity with the development model for popular LLM frameworks and libraries such as TensorRT, TensorRT-LLM, vLLM, or SGLang
  • Experience with mobile/embedded/automotive platforms (e.g. Ubuntu, JetPack, QNX, or similar)
  • Track record of identifying useful new technologies and incorporating them into SW development flows


This is an opportunity to have a wide impact at NVIDIA by improving development velocity for our rapidly growing compute software projects. Are you creative, driven, and autonomous? Do you love a challenge? If so, we want to hear from you!

#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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 10, 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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