NVIDIA Corporation

Performance Engineer - Deep Learning

NVIDIA Corporation • $124K — $241K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS or equivalent experience in Computer Science, Electrical Engineering, or a related field.
  • 2+ years of experience in C++ and Python programming.
  • Strong background in parallel systems programming, preferably on GPUs.
  • Knowledge of Computer Architecture, Code Optimization, and/or Operating Systems.
  • Proven experience in developing large software projects.
  • Excellent verbal and written communication skills.

Responsibilities

  • Build and support the Transformer Engine for accelerating Large Language Models.
  • Collaborate on systems research to enhance Deep Learning model performance.
  • Implement, benchmark, and optimize new Deep Learning models for NVIDIA GPUs.
  • Contribute to NVIDIA submissions on community benchmarks like MLPerf.
  • Engage with the open-source community and support enterprise customers.
  • Influence the design of new hardware generations and core software components.

Benefits

  • Equity opportunities.
  • Comprehensive benefits package.
Full Job Description
What you will be doing:
  • Build and support Transformer Engine, the open-source library for accelerating the training of Large Language Models.
  • Collaborate on systems research that improves Deep Learning model performance, such as training using extremely low precision, parallelism methods, etc.
  • Implement, benchmark, and optimize new Deep Learning models such as LLMs straight out of groundbreaking research to scale efficiently on NVIDIA GPUs and systems.
  • Build and contribute to NVIDIA submissions on community benchmarks such as MLPerf.
  • Engage with the open-source community as well as support enterprise customers and partners by delivering the benefits of NVIDIA's latest hardware and software innovations.
  • Influence the design of new hardware generations and core platform software components for NVIDIA hardware and systems.


What we need to see:
  • BS or equivalent experience in Computer Science, Electrical Engineering, or a related field.
  • 2+ years of experience in C++ and Python programming.
  • Strong background, experience, or coursework in parallel systems programming, preferably on GPUs.
  • Knowledge of Computer Architecture, Code Optimization, and/or Operating Systems.
  • Proven experience in developing large software projects.
  • Excellent verbal and written communication skills.


Ways to stand out from the crowd:
  • Experience in PyTorch, JAX, or any other DL framework.
  • Experience with performance analysis, profiling, and code optimization techniques, especially with multi-GPU or multi-node systems.
  • Knowledge of modern LLM architectures, attention mechanisms, and/or low-level DL libraries such as cuBLAS, cuDNN, and cuSOLVER.
  • Experience in writing GPU kernels using any of - CUDA, OpenAI Triton, CuTeDSL, Pallas, or other similar libraries.
  • Any past contributions to the open source community and/or experience working with multidisciplinary teams also showcase readiness for the team's responsibilities.


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 for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 9, 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

Similar Jobs

More Jobs at NVIDIA Corporation

More Consumer Technology Jobs

Find similar Performance Engineer - Deep Learning jobs: