NVIDIA Corporation

High-Performance LLM Training Engineer - New College Grad 2026

NVIDIA Corporation$124K — $195K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • MS in Computer Science, Electrical Engineering, or Computer Engineering (or equivalent experience)
  • Strong background in deep learning and neural networks, especially training
  • In-depth knowledge of computer architecture and GPU fundamentals
  • Experience in analyzing and optimizing application performance
  • Proficiency in C++, Python, and CUDA programming

Responsibilities

  • Analyze and optimize AI training workloads on advanced hardware and software
  • Identify performance issues in state-of-the-art neural networks
  • Develop production-quality software across NVIDIA's deep learning platform
  • Contribute to MLPerf Training benchmark suite submissions
  • Implement deep learning training workloads in proprietary simulators
  • Create tools for automating workload analysis and optimization

Benefits

  • Equity options
  • Comprehensive benefits package
  • Opportunities for professional development
  • Flexible working environment
  • Access to advanced technology resources
Full Job Description
We are now looking for a High-Performance LLM Training Engineer!

What you will be doing:
  • Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms.
  • Understand the big picture of training performance on GPUs, prioritizing and then solving problems across all state-of-the-art neural networks.
  • Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.
  • Build and support NVIDIA submissions to the MLPerf Training benchmark suite.
  • Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
  • Build tools to automate workload analysis, workload optimization, and other critical workflows.


What we want to see:
  • MS in Computer Science, Electrical Engineering or Computer Engineering (or equivalent experience).
  • Strong background in deep learning and neural networks, in particular training.
  • A deep background in computer architecture and familiarity with the fundamentals of GPU architecture.
  • Proven experience analyzing and tuning application performance & processor and system-level performance modeling.
  • Programming skills in C++, Python, and CUDA.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 19, 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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