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Gpu Compiler Engineer Jobs in Berkeley, CA (NOW HIRING)

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 ...

Luminal

Senior Compiler Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are seeking a Senior Compiler Engineer to design and build core compiler infrastructure ... PTX/SASS, GCN/RDNA assembly, or other GPU ISAs • Familiar with ML compilers: torch.compile (or ...

Slope

Senior Compiler Engineer

San Francisco, CA · On-site

$120 - $160/hr

PTX/SASS, GCN/RDNA assembly, or other GPU ISAs * Familiarity with ML compilers: torch.compile (or ... a Founding Compiler Engineer located in downtown San Francisco. You will be responsible for ...

New

General Motors

Senior ML Compiler Engineer

San Francisco, CA · On-site

$123K - $169K/yr

If you want your compiler andkernelsworktodirectlyinfluencehow automated vehicles understand and ... You'lljoin a group ofdeepcompiler, systems, and GPU engineerswho enjoyworking onhard problems ...

Sciforium

GPU Kernel Engineer

San Francisco, CA · On-site

$190K - $250K/yr

... capabilities and compiler/toolchain improvements. * Contribute to tooling, documentation ... programming environments. * Contributions to open-source ML systems, compilers, or GPU kernels.

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All JobsGpu Compiler Engineer JobsGpu Compiler Engineer Jobs in Berkeley, CA

Gpu Compiler Engineer information

See Berkeley, CA salary details

$13.5K

$102K

$138.4K

How much do gpu compiler engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for gpu compiler engineer in Berkeley, CA is $101,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $132,200.00 per year, depending on experience, location, and employer.

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 Berkeley, CA?

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

What job categories do people searching Gpu Compiler Engineer jobs in Berkeley, CA look for?

The top searched job categories for Gpu Compiler Engineer jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Gpu Compiler Engineer jobs?

Cities near Berkeley, CA with the most Gpu Compiler Engineer job openings:

Gpu Compiler Engineer jobs near you
Infographic showing various Gpu Compiler Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $101,985 per year, or $49 per hour.

Founding GPU Compiler Engineer

SF Tensor

San Francisco, CA • On-site

$163K - $200K/yr

Full-time

Re-posted 21 days ago

Job description

Job Summary:
SF Tensor is a company focused on rethinking the software and infrastructure stack for AI and high-performance computing. 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-training.
Responsibilities:
• Design and implement the main compilation pipeline, from StableHLO to executable GPU and host binaries
• Build and extend MLIR dialects and passes to optimize AI workloads
• Develop backend code generation for multiple targets (NVIDIA PTX/SASS, AMD GCN/RDNA, Trainium, TPU)
• Implement classic compiler optimizations customized for large-scale training (fusion, tiling, memory planning, scheduling)
• Build search-based compiler infrastructure to explore different optimization options
• Create hybrid codegen paths for cases where direct MLIR lowering isn't practical
• Set up testing, benchmarking, and performance regression systems
• Work closely with ML researchers to understand workload characteristics and find optimization opportunities
Qualifications:
Required:
• Deep experience with compiler infrastructure (LLVM, MLIR, or similar)
• Strong background in GPU architecture and low-level optimization (CUDA, ROCm, or equivalent)
• Hands-on experience with at least one of: PTX/SASS, GCN/RDNA assembly, or other GPU ISAs
• Familiarity with ML compiler stacks (XLA, TVM, Triton, torch.compile, or similar)
• Solid systems programming skills in C++ and/or Rust
• Proven track record of building production-grade compiler infrastructure
Preferred:
• Background in distributed systems or multi-device compilation
• Contributions to open-source compiler projects
• Experience with autotuning or search-based optimization
• Familiarity with large-scale training infrastructure
• Experience with (Stable)HLO
Company:
The San Francisco Tensor Company is reinventing the software and infrastructure stack for modern AI and HPC. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.

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