1

Gpu Compiler Engineer Jobs (NOW HIRING)

... compiler engineering experience, with hands-on MLIR contributions or equivalent IR-design ... GPU compiler experience (Triton, IREE, XLA, or equivalent), or open-source MLIR / LLVM ...

Compiler Engineer

Santa Clara, CA · On-site

$128K - $181K/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 engineering experience, with hands-on MLIR contributions or equivalent IR-design ... GPU compiler experience (Triton, IREE, XLA, or equivalent), or open-source MLIR / LLVM ...

Compiler Engineer

Hillsboro, OR · On-site

$149K - $211K/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 ...

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

San Jose, CA · On-site

$160K - $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 ...

$128K - $181K/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 ...

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 ...

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 ...

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 ...

Sr. Compiler Engineer

Mountain View, CA

$122K - $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 ...

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 ...

Sr. Compiler Engineer

Mountain View, CA · On-site

$122K - $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 ...

What you could be doing as a Graduate GPU Modeling and Compiler Engineer? Your job responsibilities will be diverse including architecture, technology research, hands-on prototyping, experimental ...

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 ...

next page

Showing results 1-20

Gpu Compiler Engineer information

See salary details

$11K

$83.3K

$113K

How much do gpu compiler engineer jobs pay per year?

As of Jul 11, 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 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.
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:
Infographic showing various Gpu Compiler Engineer job openings in the United States as of July 2026, with employment types broken down into 9% As Needed, 89% Full Time, 1% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $83,291 per year, or $40 per hour.
Apple GPU Compiler Backend Research Engineer, Graphics, Game and ML

Apple GPU Compiler Backend Research Engineer, Graphics, Game and ML

Apple

Cupertino, CA

$150K - $277K/yr

Full-time

Medical, Dental, Retirement

Posted 13 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

In this role, you will have the opportunity to work on defining the roadmap for Apple GPU architecture and unleash the potential for new applications. You will work cross-functionally with several hardware and software teams to prototype compiler feature support, code generation and a slew of optimizations. You will be responsible to evaluate the efficacy of the proposed changes and provide feedback. Your work will have tremendous impact across all Apple devices.
Description
We in the GPU compiler team have a strong track record of delivering optimal solutions for Apple Silicon GPUs. We have built synergies with hardware and software teams to explore and implement these solutions from conception, to prototyping to finally productizing and shipping. We strongly believe that being involved from concept allows us to unlock the true potential of new GPU architectures. We are seeking a highly skilled Compiler Backend Research Engineer to join our team. The role involves researching, designing, prototyping and implementing Apple GPU compiler optimizations to improve performance and functionality across all Apple devices. The GPU that you will work on will be shipped in every Apple device with a GPU. You will work on an LLVM-based compiler backend to generate optimized GPU binaries for future Apple Silicon GPUs that run graphics and compute workloads. ","responsibilities":"Engage and collaborate with architects and micro-architects to explore and advance features and capabilities of the Apple Silicon GPUs.
You will prototype compiler support to iteratively evaluate and improve the efficacy of the hardware changes.
You will drive discussions, and will be staying up-to-date with advancements in compiler technology, applying relevant insights to the development process.
Preferred Qualifications
Hands-on experience developing LLVM-based compiler backends
Experience with instruction selection, instruction schedulers and register allocators for CPU or GPU compiler backends
Minimum Qualifications
Experience with modern C++ programming
BS with 5 years experience, MS or PhD in computer science or related field.
Knowledge of GPU architectures and how they differ from CPU architectures
Proven industry experience with strong background in compilers
Passionate about solving exciting problems related to the state-of-the-art Apple Silicon GPUs
Excellent written and verbal communication skills
Motivated to build constructive and effective relationships and solve problems collaboratively
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976