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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

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

Austin, TX · 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 ...

$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 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 ...

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 ...

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 ...

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 ...

GPU compiler test engineer Location: San Diego, CA Experience: 4+ Years Duration: Full Time Minimum Qualifications Required: Good hands on experience of Software Releases, Integration and ...

GPU compiler test engineer Location: San Diego, CA Experience: 4+ Years Duration: Full Time Minimum Qualifications Required: Good hands on experience of Software Releases, Integration and ...

Senior Compiler Engineer Infrastructure

Santa Clara, CA · On-site +1

$127K - $173K/yr

Our compiler organization makes its mark on every GPU NVIDIA produces. By improving how our internal compiler stacks align with open source and by modernizing the tools our developers rely on, you ...

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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 Jun 20, 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.
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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:

Compiler Engineer -- MLIR

DensityAI

Mountain View, CA

$200K - $360K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Be an early applicant


Job description

ITAR Notice: This role involves access to ITAR-controlled information. Applicants must be U.S. persons (U.S. citizens, U.S. permanent residents, asylees, or refugees) per 22 CFR 120.62

About the role

Own MLIR dialect design and lowering passes for our AI accelerator — defining the high-level tensor IR, async / streaming semantics, and sharded-tensor types that bridge ML frameworks to silicon. Work with chip-design and software teams driving DensityAI's AI accelerator program from first silicon through scale-out.

What you'll do
  • Own MLIR dialect design and lowering passes for our AI accelerator — defining the high-level tensor IR, async / streaming semantics, and sharded-tensor types that bridge ML frameworks to silicon
  • Use and develop AI-assisted tool flows to accelerate compiler development
What we're looking for
  • Exceptional abilities in MLIR dialect design, lowering pass authoring, and rewrite patterns
  • 5+ years compiler engineering experience, with hands-on MLIR contributions or equivalent IR-design experience
  • Deep understanding of tensor compilation, distributed / sharded execution, and async / streaming dataflow models
  • Strong C++ fluency and experience integrating with ML frameworks (PyTorch, JAX, ONNX, TensorFlow, or equivalent)
  • (Optional) LLVM backend experience, GPU compiler experience (Triton, IREE, XLA, or equivalent), or open-source MLIR / LLVM contributions
Compensation

Final offers depend on level, location, and skills relevant to the role. Additional compensation: equity grant per company guidelines; medical / dental / vision; 401(k); standard PTO.

Visa Sponsorship

DensityAI sponsors qualified candidates for H-1B, O-1, TN, E-3, and other employment-based visas, and we welcome applicants on F-1 OPT and STEM-OPT. Work authorization is required at start; we provide immigration support to secure or transfer status.

Equal Opportunity

DensityAI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religious creed, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age (40+), sexual orientation, military or veteran status, pregnancy, or any other status protected by law. We comply with the California CROWN Act and provide reasonable accommodations on request.

Full compensation packages are based on candidate experience and relevant certifications.

California pay range
$200,000—$360,000 USD