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

NVIDIA is hiring a Senior Compiler Engineer to join our team driving the next generation of GPU systems programming. We are redefining how developers write high-performance GPU software by bringing ...

We are searching for a Backend Compiler Engineer for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for constructing and emitting the highest performance ...

Senior Compiler Engineer - AI

Redmond, WA · On-site

$117K - $160K/yr

NVIDIA is a leader in computer graphics and AI technology, seeking a Senior Compiler Engineer with ... GPU architecture. • Demonstrated proficiency in Python and C/C++. • Strong mathematical and ...

Senior Compiler Engineer - AI

Redmond, WA

$137K - $180K/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 ...

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/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 ...

Senior LLVM Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

They are seeking a Senior LLVM Compiler Engineer to join their Compute Compiler Team, focusing on ... GPU architectures, CUDA, or parallel programming models • Familiarity with deep learning ...

Senior Compiler Engineer - DL

Redmond, WA

$117K - $160K/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 ...

Senior LLVM Compiler Engineer

Redmond, WA

$117K - $160K/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 ...

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 ...

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep ...

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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 Jul 26, 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 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 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 are popular job titles related to Gpu Compiler Engineer jobs in Renton, WA? For Gpu Compiler Engineer jobs in Renton, WA, the most frequently searched job titles are:
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:
Infographic showing various Gpu Compiler Engineer job openings in Renton, WA as of July 2026, with employment types broken down into 7% As Needed, 88% Full Time, 3% Part Time, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $93,688 per year, or $45 per hour.
Senior Compiler Engineer - Rust GPU

Senior Compiler Engineer - Rust GPU

Nvidia

Seattle, WA

$139K - $183K/yr

Full-time

Posted 5 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 245 rated software companies


Job description

NVIDIA is dedicated to reinvent accelerated computing. Reinvention requires great technology and amazing people. 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.

NVIDIA is hiring a Senior Compiler Engineer to join our team driving the next generation of GPU systems programming. We are redefining how developers write high-performance GPU software by bringing the safety, expressiveness, and modern tooling of Rust to native GPU and CUDA development. On this team, you will build cutting-edge compiler pipelines, custom intermediate representation (IR) frameworks, and JIT compilation systems that bridge host and device execution-allowing developers to write memory-safe, high-performance GPU kernels in idiomatic Rust.

What you'll be doing:

  • Develop Rust-to-GPU Compiler Pipelines: Design, implement, and maintain custom compiler backends (such as rustc codegen backends and proc-macros) and Rust-native intermediate representation (IR) frameworks to compile standard Rust directly to high-performance CUDA PTX and machine code.

  • Build compiler IRs and Optimizers: Work with modern compiler architectures to lower Rust AST and MIR into IRs including MLIR, PTX, and LLVM, including GPU-specific optimizations.

  • Support complex ahead-of-time, just-in-time, and link time optimization workflows: Build state-of-the-art tooling to support users targeting a broad family of NVIDIA GPUs, host platforms, and feature sets.

  • Define Safe Parallel Abstractions: Architect innovative compiler-enforced safety models that extend Rust's ownership, borrowing, and lifetime disciplines across the GPU launch boundary-preventing data races and enforcing memory safety during asynchronous GPU execution.

  • Expose Next-Gen Hardware Features: Implement type-safe, ergonomic device-side abstractions in Rust for low-level GPU hardware primitives, including shared memory, barriers, scoped atomics, Tensor Memory Accelerator (TMA), and warp/cluster-level operations.

  • Build the future: Supporting today's accelerated computing applications is not sufficient. We have to build composable building blocks for others around us to build the applications of tomorrow.

What we need to see:

  • Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, a related field, or equivalent experience.

  • 5+ years of relevant work or research experience in compiler development, language design, or GPU code generation.

  • Deep expertise in the Rust programming language, including a strong grasp of compiler internals (rustc), Rust MIR, procedural macros, and Rust's borrow-checker/lifetime model.

  • Hands-on experience with compiler infrastructures, intermediate representations (IRs), and code generation (such as LLVM IR, MLIR, or custom IR systems).

  • Solid understanding of parallel programming models, GPU architectures, and CUDA programming.

  • Strong software design skills, including debugging, profiling, and benchmarking compilers and GPU kernels.

  • Ability to orchestrate agents for product requirement design, architecture, code development, testing, code review, and issue triage.

  • Ability to work independently, define project goals and scope, and drive complex compiler-engineering efforts from research to production.

Ways to stand out from the crowd:

  • A track record of contributing to the Rust compiler (rustc), Cargo tooling, or open-source Rust-to-GPU projects.

  • Experience building custom compiler front-ends, AST translators, or JIT engines.

  • Familiarity with MLIR or other extensible compiler frameworks.

  • Deep proficiency in low-level GPU programming, including the use of modern hardware features (e.g., Tensor Cores, warp-level shuffles, or asynchronous transfer pipelines).

  • Experience designing Domain-Specific Languages (DSLs) or tile-based programming abstractions for tensor processing.

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 programming languages and systems 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 July 25, 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

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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