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Gpu Engineer Salary Jobs (NOW HIRING)

Senior Compiler Engineer - Rust GPU

Seattle, WA · On-site

$139K - $183K/yr

We are redefining how developers write high-performance GPU software by bringing the safety ... With competitive salaries and a generous benefits package, we are widely considered to be one of ...

Senior Compiler Engineer - Rust GPU

Santa Clara, CA · On-site

$143K - $189K/yr

We are redefining how developers write high-performance GPU software by bringing the safety ... With competitive salaries and a generous benefits package, we are widely considered to be one of ...

Senior Compiler Engineer - Rust GPU

Austin, TX · On-site

$121K - $160K/yr

We are redefining how developers write high-performance GPU software by bringing the safety ... With competitive salaries and a generous benefits package, we are widely considered to be one of ...

Senior Compiler Engineer - Rust GPU

Santa Clara, CA · On-site

$143K - $189K/yr

We are redefining how developers write high-performance GPU software by bringing the safety ... With competitive salaries and a generous benefits package, we are widely considered to be one of ...

Senior Compiler Engineer - Rust GPU

OR · On-site +1

$122K - $161K/yr

We are redefining how developers write high-performance GPU software by bringing the safety ... With competitive salaries and a generous benefits package, we are widely considered to be one of ...

Excellent GPU programming skills in CUDA, with a thorough understanding of parallel programming ... The salary range for this role: is $170,100 to $258,300 . The actual base salary a successful ...

We are searching for a Backend Compiler Engineer for an exciting and fun role in our GPU Software ... With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ...

We are searching for a Backend Compiler Engineer for an exciting and fun role in our GPU Software ... With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered ...

Showing results 21-40

Gpu Engineer Salary information

See salary details

$39K

$101.8K

$137.5K

How much do gpu engineer salary jobs pay per year?

As of Sep 2, 2026, the average yearly pay for gpu engineer salary in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is the average salary of a GPU engineer?

The average salary of a GPU engineer in the United States typically ranges from $110,000 to $170,000 per year, depending on factors such as experience, education, location, and the company. Entry-level GPU engineers may start at a lower salary, while those with several years of experience or working at top tech firms can earn significantly more. Additional compensation such as bonuses, stock options, and benefits may also be included in the total compensation package.

What factors can influence the salary of a GPU engineer?

The salary of a GPU Engineer can vary based on several factors including years of experience, level of education, and the specific industry or company. Professionals working for large technology firms or semiconductor companies often command higher salaries, especially if they possess expertise in advanced GPU architecture or parallel computing. Geographic location also plays a significant role, with positions in major tech hubs such as Silicon Valley typically offering higher compensation. Additionally, skills in popular programming languages (like CUDA or OpenCL) and experience with machine learning or AI projects can further boost earning potential.

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

To thrive as a GPU Engineer, you need a strong background in computer engineering or computer science, with expertise in GPU architectures, parallel programming, and low-level programming languages such as C/C++. Familiarity with tools and frameworks like CUDA, OpenCL, and hardware description languages, as well as experience with performance profiling systems, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills set top candidates apart. These skills and qualities are crucial for designing, optimizing, and troubleshooting high-performance GPUs that power modern computing and graphics applications.

What is the difference between Gpu Engineer Salary vs Hardware Engineer Salary?

AspectGpu Engineer SalaryHardware Engineer Salary
Average Annual Salary$110,000 - $150,000$85,000 - $125,000
Required CredentialsBachelor's or Master's in Computer Engineering, Electrical Engineering, or related fieldsBachelor's or Master's in Electrical, Computer, or Mechanical Engineering
Work EnvironmentTech companies, R&D labs, semiconductor firmsElectronics manufacturing, tech companies, R&D labs
Industry UsageDesigning and optimizing GPU hardware and softwareDesigning and testing electronic hardware components

Gpu Engineers and Hardware Engineers share similar educational backgrounds and work environments, but Gpu Engineers focus specifically on GPU hardware and software optimization, often earning higher salaries due to specialized skills in graphics processing and parallel computing.

How much do GPU engineers make?

GPU engineers typically earn a salary ranging from $80,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in graphics processing, hardware design, or parallel computing can command higher compensation, often exceeding $180,000.

What does a GPU engineer do?

A GPU engineer designs, develops, and optimizes graphics processing units and related hardware or software. They work on improving graphics performance, parallel processing, and may use programming languages like C++ and CUDA, often collaborating with hardware teams and testing with simulation tools. Their role requires strong knowledge of computer architecture and graphics APIs such as DirectX or Vulkan.
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What cities are hiring for Gpu Engineer Salary jobs?

Cities with the most Gpu Engineer Salary job openings:

What states have the most Gpu Engineer Salary jobs?

States with the most job openings for Gpu Engineer Salary jobs include:

Infographic showing various Gpu Engineer Salary job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

Senior Compiler Engineer - Rust GPU

Nvidia

Seattle, WA • On-site

$139K - $183K/yr

Full-time

Re-posted 12 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 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.


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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