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Gpu Compiler Engineer Jobs in California (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 ...

Bolt Graphics

GPU Compiler Lead

Sunnyvale, CA · On-site

$68.75 - $90.25/hr

... of compiler engineers and coordinate with partners and external contributors Qualifications ... GPU architecture • Bachelor's/Master's degree in Computer Engineering, Computer Science, or ...

Bolt Graphics

GPU Compiler Developer

Sunnyvale, CA · On-site

$175K - $220K/yr

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

Bolt Graphics

GPU Compiler Lead

Sunnyvale, CA · On-site

$175K - $250K/yr

Lead an internal team of compiler engineers and coordinate with partners and external contributors ... Coordinate with the GPU Driver team to communicate with the host through PCIe or on-board shared ...

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 ...

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 ...

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 ...

TetraMem Inc

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 ...

Datapelago

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 ...

Intel

Compiler Engineer

Folsom, CA · 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 ...

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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 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.
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 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

Founding GPU Compiler Engineer

SF Tensor

San Francisco, CA • On-site

$163K - $200K/yr

Full-time

Re-posted 12 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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