NVIDIA Corporation

Senior Performance Compiler Engineer - Triton

NVIDIA Corporation$184K — $287K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's, Master's, or Ph.D. in Computer Science or related field.
  • 8+ years of relevant software development experience.
  • Strong C++ programming and software design capabilities.
  • Experience with CUDA/OpenCL and parallel programming methods.
  • Solid understanding of computer architecture and assembly-level programming.

Responsibilities

  • Investigate latest NVIDIA GPU hardware architecture and programming models.
  • Explore advanced algorithms and numerics to optimize AI performance.
  • Design and implement compiler tech using MLIR for optimizing kernel descriptions.
  • Engage in iterative optimization processes for achieving peak performance.
  • Collaborate with cross-functional teams to enhance future products.

Benefits

  • Generous benefits package including equity eligibility.
  • Working with forward-thinking and highly skilled teams.
  • Opportunities for significant contributions to innovative projects.
  • Supportive and diverse work environment encouraging best performance.
Full Job Description
We9re looking for a Senior Performance Compiler Engineer to join our team and work on the open-source Triton compiler project. This opportunity involves working with new technologies and using compilers to improve AI performance on NVIDIA GPUs. Your work will enable breakthroughs in large language models, agents, and other high-impact AI applications, accelerating both training and inference. You will be immersed in a diverse, supportive environment where everyone is inspired to do their best work, pushing the limits of what9s possible.

What you9ll be doing:
  • Investigating the latest and future NVIDIA GPU hardware architecture and programming models.
  • Working on the frontier of AI by understanding advanced algorithms (like attention sinks and MoEs) and numerics (like block-scaled floating point) to identify new opportunities for optimization.
  • Designing and implementing compiler technology using MLIR to optimize high-level kernel descriptions (written in Triton9s Python DSL), with a focus on generating efficient, low-level GPU code. When vital, you9ll also be able to use inline PTX to hand-tune critical code paths and extract peak performance from the hardware.
  • Engaging in a dynamic, iterative process of optimization-sometimes starting with the kernel, sometimes with the compiler-to find the most efficient path to peak performance.
  • Collaborating with teams across NVIDIA, including hardware architects and the CUDA compiler team, to influence future products and ensure we are always operating at maximum efficiency.


What we need to see:
  • Bachelor, Masters or Ph.D. degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or a related field.
  • 8+ years of relevant industry experience in software development.
  • Demonstrated strong C++ programming and software design skills, with an emphasis on performance analysis and debugging.
  • Experienced in parallel programming, including CUDA/OpenCL GPU programming or other parallel models such as OpenMP.
  • Solid understanding of computer architecture and hands-on experience with assembly-level programming.


Ways to stand out from the crowd:
  • Experience in tuning BLAS or deep learning library kernels.
  • Background in numerics and linear algebra.
  • Experience with machine learning compilers like TVM or MLIR.
  • Contributions to open-source projects, especially in the AI/ML or compiler space.
  • Familiarity with the latest research in AI algorithms and numerics as well as a strong track record of contributions to open-source projects, particularly in the AI/ML, compiler, or high-performance computing domains.


With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world9s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you9re a creative and autonomous engineer with a real passion for technology, we want to hear from you.

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 May 12, 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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