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

Nvidia

Senior DL Compiler Engineer- CUDA Tile

Redmond, WA

$137.20K - $180.90K/yr

More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep ...

NVIDIA

Senior Software Engineer, DL Compilers

Seattle, WA · On-site

$139.40K - $183.80K/yr

The role involves developing high-performance GPU kernels from frontend compiler representations ... Required : • BS, MS, or PhD in Computer Science, Computer Engineering, or a related field (or ...

NVIDIA

Senior Software Engineer, DL Compilers

Redmond, WA · On-site

$137.20K - $180.90K/yr

The role involves developing high-performance GPU kernels from frontend compiler representations ... Required : • BS, MS, or PhD in Computer Science, Computer Engineering, or a related field (or ...

Microsoft

Senior Researcher - GPU Performance

Redmond, WA · On-site

$158.40K - $258K/yr

Reliable C++ programming skills. Other Requirements: Ability to meet Microsoft, customer and/or ... Familiarity with compiler optimization techniques and background in auto-tuning and automated code ...

Nvidia

Senior High Performance AI Engineer

Redmond, WA · On-site

$137.20K - $180.90K/yr

... GPU-centric runtimes, and compiler- or runtime-driven system solutions to accelerate agent planning ... Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent ...

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Gpu Compiler Engineer information

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$12.4K

$93.7K

$127.1K

How much do gpu compiler engineer jobs pay per year?

As of May 30, 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 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 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 GPU Compiler Engineers?

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 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 job categories do people searching Gpu Compiler Engineer jobs in Renton, WA look for? The top searched job categories for Gpu Compiler Engineer jobs in Renton, WA are:
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 May 2026, with employment types broken down into 3% As Needed, 80% Full Time, 7% Temporary, 3% Contract, and 7% Nights. Highlights an 30% Physical, and 70% Hybrid job distribution, with an average salary of $93,688 per year, or $45 per hour.
Senior DL Compiler Engineer- CUDA Tile

Senior DL Compiler Engineer- CUDA Tile

Nvidia

Redmond, WA

$137.20K - $180.90K/yr

Full-time

Posted 20 days ago

Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image classification and other areas. Come join us to work with a top-notch team and have broad impact across the entire deep learning community.

What you'll be doing:

  • In this role, you will be working on CUDA Tile, a new tile-based programming model for our GPUs. CUDA Tile shipped with CUDA 13.1 and is a major addition to CUDA (https://developer.nvidia.com/cuda/tile).

  • You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the performance of tile-based kernels to ensure they execute efficiently across multiple generations of NVIDIA GPU architectures.

  • The scope of these efforts includes defining public APIs, crafting and implementing compiler and optimization techniques, performance optimization, and other general software engineering work.

What we need to see:

  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering or a related field (or equivalent experience)

  • 3+ years of relevant work or research experience in compiler optimization, performance analysis and IR design.

  • Ability to work independently, define project goals and scope, and lead your own development effort.

  • Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Ways to stand out from the crowd:

  • Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience.

  • Experience with the following technologies: MLIR, LLVM, XLA, TVM and deep learning models and algorithms.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's 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 you're 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 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 15, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.
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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