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Gpu Compiler Engineer Jobs (NOW HIRING)

Compiler Engineer

San Jose, CA · On-site

$200K - $300K/yr

MS or PhD in Computer Engineering/CS/EE * 5+ years industry experience as a compiler engineer or ... Experience developing compilers for GPU, dataflow compilers, or ML compilers * Startup mindset ...

Senior GPU Compiler Development Engineer

Austin, TX · On-site

$121.40K - $160.10K/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 ...

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 ...

OR

$122.40K - $161.30K/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 ...

They are seeking a GPU AI Compiler Engineer to evaluate and improve performance of machine learning frameworks and optimize GPU hardware resource utilization. Responsibilities : • Applies knowledge ...

As a Senior Compiler Engineer, you will play a critical role in defining, designing, and advancing ... Collaborate with GPU hardware architects to define new microarchitecture features and instruction ...

Compiler Engineer

Santa Clara, CA · On-site

$128.88K - $181.94K/yr

As a Compiler Engineer, you will play a critical role in designing, developing, testing, debugging ... The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel ...

Compiler Engineer

Hillsboro, OR · On-site

$149.60K - $211.20K/yr

Job Details: We are looking for an experienced MSVC Compiler Engineer to contribute to the ... The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel ...

Compiler Engineer

Austin, TX

$128.88K - $181.94K/yr

As a Compiler Engineer, you will play a critical role in designing, developing, testing, debugging ... The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel ...

Compiler Engineer

Hillsboro, OR

$128.88K - $181.94K/yr

As a Compiler Engineer, you will play a critical role in designing, developing, testing, debugging ... The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel ...

Compiler Engineer

Santa Clara, CA

$128.88K - $181.94K/yr

As a Compiler Engineer, you will play a critical role in designing, developing, testing, debugging ... The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel ...

GPU Compiler Performance

Santa Clara, CA · On-site

$133.40K - $200.20K/yr

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: Minimum ... compiler software to support GPU products. • Writes technical documentation and feature ...

Compiler Engineer

Folsom, CA · On-site

$149.60K - $211.20K/yr

Job Details: We are looking for an experienced MSVC Compiler Engineer to contribute to the ... The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel ...

Sr. Compiler Engineer

Mountain View, CA

$122.40K - $168K/yr

Senior Compiler Engineer Mountain View, CA About DataPelago: DataPelago is at the forefront of ... Analyze advances in the capabilities of CPU and GPU processing elements from Nvidia, AMD, Intel ...

$128.88K - $181.94K/yr

As a Compiler Engineer, you will play a critical role in designing, developing, testing, debugging ... The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel ...

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Gpu Compiler Engineer information

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$11K

$83.3K

$113K

How much do gpu compiler engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for gpu compiler engineer in the United States is $83,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $108,000.00 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.

More about Gpu Compiler Engineer jobs
What cities are hiring for Gpu Compiler Engineer jobs? Cities with the most Gpu Compiler Engineer job openings:
What states have the most Gpu Compiler Engineer jobs? States with the most job openings for Gpu Compiler Engineer jobs include:
What job categories do people searching Gpu Compiler Engineer jobs look for? The top searched job categories for Gpu Compiler Engineer jobs are:
Infographic showing various Gpu Compiler Engineer job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 82% Full Time, 6% Temporary, 3% Contract, and 6% Nights. Highlights an 30% Physical, and 70% Hybrid job distribution, with an average salary of $83,291 per year, or $40 per hour.
Senior Compiler Engineer - Backend GPU

Senior Compiler Engineer - Backend GPU

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 5 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