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Compiler Jobs in California (NOW HIRING)

As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro ...

As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro ...

Senior GPU Compiler Development Engineer

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

Join the PTX Compiler team and help drive PTX language design and PTX compiler evolution. PTX enables all GPU Computing applications including HPC, Deep Learning and Autonomous Driving. PTX provides ...

As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro ...

As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro ...

GPU Compiler Lead

Sunnyvale, CA · On-site

$175K - $250K/yr

About the role: We're looking for highly experienced GPU Compiler Lead. You will lead the design and implementation of a high-performance compiler stack for our proprietary GPU architecture. You'll ...

Engineering Group, Engineering Group > Compiler Toolchain Software General Summary: Are you passionate about maximizing server CPU performance and pushing the boundaries of optimization? Join our ...

Senior Fortran Compiler Engineer

Santa Clara, CA

$122.70K - $168.50K/yr

NVIDIA's HPC compiler group wants to hire a Fortran compiler developer to join the team building one of the world's most important optimizing compilers. If you want a front-row seat to ...

Sr. Compiler Engineer

Mountain View, CA

$122.40K - $168K/yr

Senior Compiler Engineer Mountain View, CA About DataPelago: DataPelago is at the forefront of revolutionizing data processing for traditional analytics and cutting-edge GenAI preprocessing. We are ...

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Compiler information

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How much do compiler jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for compiler in California is $20.54, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $23.94 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Compiler, and why are they important?

To thrive as a Compiler Engineer, you need a strong background in computer science, programming languages, and compiler theory, often supported by a relevant degree. Familiarity with tools like LLVM, GCC, and experience with languages such as C/C++ or Rust are typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills in this field. These skills ensure the development of efficient, reliable compilers that support robust software and systems development.

What are the common challenges faced when working as a Compiler Engineer, and how can they be addressed?

Compiler Engineers often encounter challenges such as optimizing code for performance, ensuring compatibility across various hardware architectures, and maintaining the correctness of complex transformations. Debugging and diagnosing issues in the compilation process can be particularly intricate, requiring a strong understanding of both source and target languages. Collaborating closely with language designers and hardware engineers, as well as utilizing automated testing and profiling tools, helps address these challenges and results in more robust and efficient compilers.

What is a compiler?

A compiler is a specialized computer program that translates source code written in a high-level programming language into machine code or another lower-level language that a computer can execute. This process allows developers to write code in languages like C++, Java, or Python, which are easier for humans to understand, and then have it converted into instructions that hardware can process. Compilers perform various tasks such as syntax analysis, optimization, and code generation to ensure the resulting program runs efficiently and correctly.

What is the difference between Compiler vs Interpreter?

AspectCompilerInterpreter
FunctionTranslates entire code into machine language before executionTranslates code line-by-line during execution
SpeedFaster execution after compilationSlower due to real-time translation
UsageUsed in languages like C, C++Used in languages like Python, JavaScript
ErrorsErrors are found after compilationErrors are detected during execution
OutputProduces standalone executable filesRuns directly from source code

In summary, a compiler translates the entire program into machine code before execution, resulting in faster runtime and standalone files. An interpreter translates code line-by-line during execution, which can be slower but allows for easier debugging and dynamic execution. Both are essential in different programming environments depending on performance and development needs.

What are the most commonly searched types of Compiler jobs in California? The most popular types of Compiler jobs in California are:
What cities in California are hiring for Compiler jobs? Cities in California with the most Compiler job openings:
Infographic showing various Compiler job openings in California as of May 2026, with employment types broken down into 96% Full Time, 2% Temporary, and 2% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $42,720 per year, or $20.5 per hour.

Compiler Optimization Engineer

Lemurian Labs

Santa Clara, CA • On-site

Full-time

Posted 2 days ago


Job description

Job Summary:
Lemurian Labs is reimagining the foundations of computing to make AI accessible to everyone. The Compiler Optimization Engineer will own the middle tier of the AI compiler stack, focusing on graph-level transformations and optimization passes to enhance model performance.
Responsibilities:
• Design, develop, and maintain the graph optimization layer of our heterogeneous AI compiler
• Implement and extend graph-level transformation passes including operator fusion, layout propagation, dead code elimination, constant folding, and algebraic simplification
• Define and evolve our intermediate representation (IR) to support new optimization opportunities as ML model architectures advance
• Analyze performance data to identify optimization gaps and drive measurable improvements in throughput and latency
• Collaborate with front end and code generation teams to ensure clean IR interfaces and well-structured optimization pipelines
• Propose and prototype new optimization strategies in response to advances in model design and hardware capabilities
• Contribute to testing and validation infrastructure to ensure optimization correctness across model types and hardware targets
Qualifications:
Required:
• BS degree in Computer Science, Computer Engineering, or equivalent practical experience
• 4+ years of experience working with compilers, with a focus on intermediate representation design or optimization passes
• Deep knowledge of graph-level compiler optimization techniques — fusion, tiling, layout transformations, and related methods
• 4+ years of experience with C/C++
• Strong written and verbal communication skills; ability to write clear and concise technical documentation
Preferred:
• Master's or PhD in Computer Science, Computer Engineering, or equivalent
• Experience with polyhedral models or affine analysis for loop and tensor optimization
• Familiarity with hardware memory hierarchies and how layout decisions impact performance on GPUs or accelerators
• Experience working with MLIR, XLA, or similar graph-level IR frameworks
• Experience with ML framework internals — PyTorch eager/compile mode, JAX/XLA, or TensorRT
• Strong understanding of ML model architectures and their computational patterns (attention, convolution, normalization, etc.)
• Knowledge of quantization, sparsity, or other model-level optimization techniques
• Contributions to open-source compiler or ML infrastructure projects
Company:
Any workload. Any hardware. Any scale. Founded in 2018, the company is headquartered in Santa Clara, USA, with a team of 11-50 employees. The company is currently Early Stage.