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Gpu Compiler Engineer Jobs in Renton, WA (NOW HIRING)

Nvidia

Senior Software Engineer, CUTLASS Kernels

Redmond, WA · On-site

$137K - $180K/yr

Collaborate with teams across NVIDIA including the GPU architecture, NVVM/PTX compiler, CUDA ... Strong proficiency in C++ programming and software design, including debugging, performance ...

Meta

Software Engineer, Systems ML

Bellevue, WA

$154K/yr

Experience with GPU programming using CUDA, ROCm, or equivalent hardware accelerator kernel development * Experience with ML compiler technologies such as MLIR, LLVM, TVM, XLA, or IREE * Demonstrated ...

AMD

Fellow, AI Workload Optimization

Bellevue, WA · On-site

... compiler, and framework teams to influence future silicon features based on evolving AI workload ... Mentor and inspire the next generation of AMD's technical leaders and engineers. Qualifications

Zoom Video Communications

Staff AI Engineer

Seattle, WA · On-site

$332K/yr

GPU programming experience: CUDA kernel development, memory optimisation, and profiling with Nsight ... Background in compiler-level optimisation (XLA, Triton, or similar) Salary Range or On Target ...

Microsoft

Senior Researcher - Efficient AI

Redmond, WA · On-site

$160K - $261K/yr

... compiler, and hardware teams to align serving algorithms with attention/KV innovations and ... GPU programming and optimization, with expert knowledge of CUDA, ROCm, Triton, PTX, CUTLASS, or ...

Nvidia

Senior Performance Architect, Nemotron

Redmond, WA · On-site

$187K/yr

... development, compiler, and hardware teams to guide decisions that determine how efficiently ... Experience with GPU computing (CUDA) Your base salary will be determined based on your location ...

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Gpu Compiler Engineer information

See Renton, WA salary details

$12.4K

$93.7K

$127.1K

How much do gpu compiler engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for gpu compiler engineer in Renton, WA is $93,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,900.00 and $121,500.00 per year, depending on experience, location, and employer.

What is a GPU compiler engineer?

GPU Compiler Engineers are specialized software engineers who design, develop, and optimize compilers that translate high-level programming code into machine code that runs efficiently on Graphics Processing Units (GPUs). Their work enables developers to harness the full power of GPUs for tasks such as graphics rendering, scientific computing, and machine learning. These engineers often work closely with hardware teams to ensure compatibility and performance, and they play a critical role in advancing GPU technology.

What are some common challenges faced by GPU compiler engineers in optimizing code for different hardware architectures?

GPU Compiler Engineers often encounter challenges when adapting and optimizing code for a wide variety of GPU architectures. Each hardware platform may have unique instruction sets, memory hierarchies, and performance characteristics, requiring tailored compiler optimizations. Balancing performance, portability, and correctness is an ongoing challenge, especially when supporting multiple vendors or generations of hardware. Close collaboration with hardware engineers and performance analysts is essential to ensure the compiler produces efficient code that leverages the strengths of each GPU architecture.

What are the key skills and qualifications needed to thrive as a GPU compiler engineer, and why are they important?

To thrive as a GPU Compiler Engineer, you need a strong background in computer science, with expertise in compiler design, parallel programming, and GPU architectures, typically supported by a relevant degree. Familiarity with tools and languages such as LLVM, CUDA, OpenCL, and performance profiling systems is essential. Analytical thinking, problem-solving ability, and effective collaboration are crucial soft skills for success in this role. These skills ensure the development of high-performance, reliable compiler solutions that optimize GPU-based applications and support innovation in computing.

What is the difference between Gpu Compiler Engineer vs Gpu Software Engineer?

AspectGpu Compiler EngineerGpu Software Engineer
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related; knowledge of compiler designBachelor's or Master's in Computer Science or related; strong programming skills
Work EnvironmentResearch and development teams focused on compiler optimization and hardware integrationSoftware development teams working on GPU applications, drivers, or SDKs
Industry UsagePrimarily in hardware and compiler companies, GPU manufacturers

The Gpu Compiler Engineer specializes in developing and optimizing compilers for GPU hardware, focusing on translating high-level code into efficient machine instructions. In contrast, the Gpu Software Engineer works on creating GPU-related software, such as drivers, SDKs, or applications. While both roles require strong programming skills and knowledge of GPU architecture, the compiler engineer emphasizes compiler design and optimization, whereas the software engineer focuses on software development and integration.

What cities near Renton, WA are hiring for Gpu Compiler Engineer jobs?

Cities near Renton, WA with the most Gpu Compiler Engineer job openings:

Gpu Compiler Engineer jobs near you
Infographic showing various Gpu Compiler Engineer job openings in Renton, WA as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $93,688 per year, or $45 per hour.

Senior Software Engineer, CUTLASS Kernels

Nvidia

Redmond, WA • On-site

$137K - $180K/yr

Full-time

Re-posted 16 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs.

If you are passionate about developing and optimizing math kernels to extract the highest performance out of the hardware architecture, apply to join the CUTLASS team today!

What you'll get to do:

  • Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution using CUTLASS CUDA C++ and Python DSL for Blackwell, Rubin, and future architectures.

  • Optimize kernels for peak throughput on both silicon and software performance simulators.

  • Collaborate with teams across NVIDIA including the GPU architecture, NVVM/PTX compiler, CUDA library, and DL frameworks teams to ensure fast, functional, and timely kernel delivery to customers.

What we need to see:

  • Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).

  • 3+ years of relevant industry experience.

  • Strong proficiency in C++ programming and software design, including debugging, performance evaluation, and testing.

  • Experience with CUDA, OpenCL, HIP, SYCL, Mojo, Pallas, Triton, Mosaic, Halide, or any general-purpose or domain-specific programming language targeting highly parallel accelerators.

  • Deep understanding of computer architecture and some experience working at the assembly level.

Ways to stand out from the crowd:

  • Experience writing code specifically targeting NVIDIA Tensor Cores, particularly through PTX or CUDA/cuTile.

  • Open-source contributions to math kernel libraries or frameworks.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 5, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

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

Year founded

1993

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