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Gpu Kernel Programmer Jobs (NOW HIRING)

As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for ... Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries ...

We're looking for outstanding AI systems engineers to develop groundbreaking technologies in the ... As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for ...

GPU Kernel Development: CUDA, Triton, CUTLASS, Flash Attention, tensor core optimization * ML ... Performance Engineering: Kernel fusion, memory bandwidth optimization, profiling with Nsight

In this hybrid role, you will report to an Engineering Manager. You will: * Develop high ... Deep insights into GPU kernel performance, compilation flow, and driver stack * Knowledgeable of ...

$70 - $90/hr

Evaluate the quality, correctness, and completeness of GPU/accelerator kernel development tasks ... Background in compiler engineering, MLIR, or intermediate-representation lowering * Understanding ...

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As of Sep 10, 2026, the average hourly pay for gpu kernel programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

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Infographic showing various Gpu Kernel Programmer job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, 1% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.

Senior AI Software Engineer, Kernel Libraries

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

$143K - $189K/yr

Full-time

Re-posted 2 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

We're looking for outstanding AI systems engineers to develop groundbreaking technologies in the inference systems software stack! We build innovative AI systems software to accelerate for AI inference. As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for NVIDIA's hardware architecture. This means designing and building things like new abstractions, efficient attention kernel implementations, new LLM inference runtimes components, and kernel code generators to accelerate large language models, agents, and other high-impact AI workloads.

What you'll be doing:

  • Innovating and developing new AI systems technologies for efficient inference

  • Designing, implementing, and optimizing kernels for high impact AI workloads

  • Designing and implementing extensible abstractions for LLM serving engines

  • Building efficient just-in-time domain specific compilers and runtimes

  • Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries, kernels, and GPU arch teams

  • Contributing to open source communities like FlashInfer, vLLM, and SGLang

What we need to see:

  • Masters degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); PhD are preferred

  • 6+ years (academic/ industry) experience with ML/DL systems development preferable

  • Strong experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc) and ideally inference engines and runtimes such as vLLM, SGLang, and MLC.

  • Strong Python and C/C++ programming skills

Ways to stand out from the crowd:

  • Background in domain specific compiler and library solutions for LLM inference and training (e.g. FlashInfer, Flash Attention)

  • Expertise in inference engines like vLLM and SGLang

  • Expertise in machine learning compilers (e.g. Apache TVM, MLIR)

  • Strong experience in GPU kernel development and performance optimizations (especially using CUDA C/C++, cuTile, Triton, or similar)

  • Open source project ownership or contributions

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 June 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US