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Gpu Compiler Engineer Jobs in California (NOW HIRING)

Nvidia

GPU Compiler Engineer

Santa Clara, CA

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 ...

SF Tensor

Founding GPU Compiler Engineer

San Francisco, CA · On-site

$163K - $200K/yr

They are seeking a Founding GPU Compiler Engineer to build the core compilation infrastructure for their AI compiler, optimizing models from various frameworks into binaries for large-scale AI pre ...

Apple

Apple GPU Compiler Backend Engineer

Cupertino, CA · On-site

... compiler backend that generates optimized GPU binaries for graphics and compute workloads across every Apple device with a GPU. Minimum Qualifications Experience with modern C++ programming BS with ...

Nvidia

Senior Compiler Engineer - Rust GPU

Santa Clara, CA · On-site

$143K - $189K/yr

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 ...

Bolt Graphics

GPU Compiler Developer

Sunnyvale, CA · On-site

$175 - $220/hr

About the role: We're looking for highly experienced GPU Compiler Developer. You will focus on the design, development,implementation, andtoolchainof a high-performance compiler stack for our ...

DensityAI

Compiler Engineer -- MLIR

Mountain View, CA · On-site

DensityAI is a company focused on AI accelerators, and they are seeking a Compiler Engineer to own ... GPU compiler experience (Triton, IREE, XLA, or equivalent) • open-source MLIR / LLVM ...

Apple

Apple GPU Compiler Backend Engineer

Cupertino, CA

$150K - $277K/yr

... new GPU hardware features Stay current with compiler technology advancements and apply relevant insights to our development process Mentor and collaborate with fellow engineers across the team ...

Qualcomm

GPU Compiler QA

San Diego, CA · On-site

Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: Join Qualcomm Technologies Inc GPU Compiler team to develop software solutions for the world class GPU products. Adreno ...

Qualcomm

GPU Compiler QA

San Diego, CA · On-site

Qualcomm Technologies Inc is a leader in mobile graphics solutions, and they are seeking a GPU Compiler QA engineer to develop software solutions for their Adreno GPU products. The role involves ...

Qualcomm

GPU Compiler Performance

Santa Clara, CA · On-site

$133K - $200K/yr

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

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Gpu Compiler Engineer information

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 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 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 popular job titles related to Gpu Compiler Engineer jobs in California?

For Gpu Compiler Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Gpu Compiler Engineer jobs in California look for?

The top searched job categories for Gpu Compiler Engineer jobs in California are:

What cities in California are hiring for Gpu Compiler Engineer jobs?

Cities in California with the most Gpu Compiler Engineer job openings:

Gpu Compiler Engineer jobs near you
Infographic showing various Gpu Compiler Engineer job openings in California as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

GPU Compiler Engineer

Nvidia

Santa Clara, CA

Full-time

Re-posted 10 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 246 rated software companies

Job description

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 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:

  • Understand, modify, and improve an NVIDIA proprietary GPU compiler backend written in C++

  • Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools

  • Work with global 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 functional languages

What we need to see:

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

  • 2+ years of compiler code generation experience

  • Excellent hands-on C++ programming skills

  • 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:

  • M.S./PhD. with significant compiler related project or thesis work preferred

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

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

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".

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 Deep Learning, Artificial Intelligence, Autonomous Vehicles, Virtual Reality, etc. Our diverse team of talented, capable, and professional people are our greatest asset! 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 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

Get the full story on Breakroom

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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