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

DigitalOcean

Staff Software Engineer, Kernel

Seattle, WA · Hybrid

$191K - $239K/yr

... GPU fleets. You will optimize and enhance core system performance, resiliency, and security ... Familiarity with compiler toolchains, build environments * Experience with Linux virtualization ...

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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 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 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 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 Compiler Optimization Engineer - MLIR

Nvidia Corporation

Redmond, WA • On-site

$117K - $160K/yr

Full-time

Posted 28 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 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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world
We are looking for an experienced Compiler Optimization Engineer for an exciting role in our Compute Compiler Team. We deliver features and improvements to CUDA and other compute compilers to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars. Our compiler organization makes its mark on every GPU NVIDIA produces. We need you as a key member of a team that is working on a core compiler component for accelerating general purpose computation on the GPU. You will be solving critical problems working alongside some of the top valued diverse minds in GPU computing and systems software, doing what you enjoy. See your efforts in action as HPC and DL developers use features and optimizations to achieve the best performance of their applications. If this sounds like a fun challenge, we want to hear from you!
What you will be doing:
  • Analyze the performance of application code running on NVIDIA GPUs with the aid of profiling tools.
  • Identify opportunities for performance improvements in the MLIR/LLVM based compiler middle end optimizer.
  • Identify and Implement novel ideas in the compilation pipeline to enable overall best-in-class performance of AI workloads.
  • Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools.
  • Interact with Open-source LLVM community to ensure tighter integration.
  • Work with geographically distributed compiler, hardware and application teams to oversee improvements and problem resolutions.
  • Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through higher level languages.

What we need to see:
  • B.S, M.S or Ph.D. in Computer Science, Computer Engineering, or related fields (or equivalent experience).
  • 8+ years experience in Compiler Optimizations such as Loop Optimizations, Inter-procedural optimizations and Global optimizations.
  • Excellent hands-on C++ programming skills.
  • Understanding of any Processor ISA (GPU ISA would be a plus).
  • Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems.
  • Good communication and documentation skills and self-motivated.

Ways to stand out from the crowd:
  • Masters or PhD preferred
  • Experience in developing applications in CUDA or other parallel programming language.
  • Deep understanding of parallel programming concepts.
  • MLIR, LLVM and/or Clang compiler development experience.
  • Familiarity with deep learning frameworks and NVIDIA GPUs.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
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 July 24, 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

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Benefits

Hours and flexibility

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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

Year founded

1993

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