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

Nvidia

Senior GPU Compiler Development Engineer

Redmond, WA · On-site

$137.20K - $180.90K/yr

Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose new GPU features in portable and performant ways in PTX ISA. PTX Compiler (PTXAS) apart from ...

Nvidia

Senior Compiler Engineer Infrastructure

Redmond, WA · On-site +1

$121.50K - $165.20K/yr

Our compiler organization makes its mark on every GPU NVIDIA produces. By improving how our internal compiler stacks align with open source and by modernizing the tools our developers rely on, you ...

Nvidia

Senior Compiler Engineer - AI

Redmond, WA · On-site

$137.20K - $180.90K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our ...

NVIDIA

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160.70K/yr

They are seeking a Deep Learning Compiler Engineer to analyze deep learning networks and develop ... GPU architecture • CUDA or OpenCL programming experience • Experiences in systems with ...

Nvidia

Senior AI Compiler Engineer, MLIR

Seattle, WA

$139.40K - $183.80K/yr

More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... NVIDIA is hiring a Senior AI Compiler Engineer. GPUs are driving rapid progress in deep learning ...

Nvidia

Senior Compiler Engineer - DL

Redmond, WA · On-site

$137.20K - $180.90K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ...

Nvidia

Senior AI Compiler Engineer

Redmond, WA · On-site

$117K - $160.70K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... We are seeking a Machine Learning Compiler Engineer with deep expertise in compiler technologies to ...

Nvidia

Senior Software Engineer, DL Compilers

Redmond, WA

$137.20K - $180.90K/yr

We're hiring senior software engineers for a compiler team within NVIDIA's deep learning software ... You'll work on the compiler infrastructure responsible for generating high-performance GPU kernels ...

Nvidia

Senior Software Engineer, DL Compilers

Seattle, WA

$139.40K - $183.80K/yr

We're hiring senior software engineers for a compiler team within NVIDIA's deep learning software ... You'll work on the compiler infrastructure responsible for generating high-performance GPU kernels ...

Nvidia

Senior LLVM Compiler Engineer

Redmond, WA · On-site

$117K - $160.70K/yr

We are seeking for an expert Senior Compiler Engineer to join our Compute Compiler Team, with a ... Background in GPU architectures, CUDA, or parallel programming models * Familiarity with deep ...

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160.70K/yr

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ...

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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 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 Compiler Engineer - Backend GPU

Senior Compiler Engineer - Backend GPU

Nvidia

Redmond, WA

Full-time

Posted 7 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 searching for a Senior Backend Compiler Engineer with experience in LLVM code generation for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures.

What you will be doing:

  • Guide the design and implementation of a new LLVM based backend JIT compiler targeting NVIDIA GPUs

  • Design and develop new compiler passes and optimizations required to meet the high performance and low compilation time requirements of the compiler

  • Work with global compiler, hardware and application teams to oversee improvements and problem resolutions

  • Apply and adapt the latest compiler technologies to produce premier, robust, supportable compiler and tools

  • Get a chance to influence and work on new GPU architectures

What we need to see:

  • B.S. or higher degree in Computer Science/Engineering or equivalent experience

  • 4+ years of compiler development experience including 3+ years of experience in LLVM with a focus in code generation

  • Expertise in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR)

  • Proficient in compiler design and in performance analysis tools

  • Excellent hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks

  • 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, with 5+ years of relevant experience

  • Experience developing compiler optimizations and code generation for GPUs

  • Experience in developing CUDA, DirectX, OpenGL/Vulkan applications

  • You should have strong interpersonal skills and be capable of leading and influencing others in the department

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 3, 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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