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Compiler Jobs in California (NOW HIRING)

SambaNova

Compiler Architect

San Jose, CA

About the Role As a Compiler Architect you will be responsible for working with the different layers of the compiler stack and coordinating with other development teams here at SambaNova. It is a ...

Lemurian Labs

Front End Compiler

Santa Clara, CA

  • Medical

  • Dental

  • Vision

  • Retirement

About the Role We're looking for a Front End Compiler Engineer to own the ingestion layer of our high-performance, portable AI compiler. This is where the journey begins - you'll build the systems ...

Intel

Compiler Engineer

Folsom, CA · On-site

$149K - $211K/yr

  • Medical

  • Retirement

  • PTO

We are looking for an experienced MSVC Compiler Engineer to contribute to the development of the Microsoft Visual C++ (MSVC) compiler toolchain for Intel Architecture. In this role, you will work on ...

Lemurian Labs

Front End Compiler

Santa Clara, CA · On-site

They are seeking a Front End Compiler Engineer to own the ingestion layer of their high-performance, portable AI compiler, focusing on building systems that parse and validate various frameworks into ...

Lemurian Labs

Front End Compiler

Santa Clara, CA

About the Role We're looking for a Front End Compiler Engineer to own the ingestion layer of our high-performance, portable AI compiler. This is where the journey begins -- you'll build the systems ...

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, develop backend code generation, and improve model performance across various hardware platforms.

Qualcomm

Compiler Software Engineer

San Diego, CA · On-site

Qualcomm Technologies, Inc. is seeking a Compiler Software Engineer to enable open source developers to build software for Qualcomm silicon. The role involves enhancing compiler toolsets and ...

SambaNova

Compiler Architect

San Jose, CA · On-site

$210K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Life

About the Role As a Compiler Architect you will be responsible for working with the different layers of the compiler stack and coordinating with other development teams here at SambaNova. It is a ...

Nvidia

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 ...

Efficient Computer

Senior Compiler Engineer

San Jose, CA · On-site

$160K - $210K/yr

  • Retirement

The Compiler Engineer will contribute to the design and implementation of an embedded machine learning (ML) system stack and TinyML applications to run on the world's most energy-efficient ...

Bolt Graphics

GPU Compiler Lead

Sunnyvale, CA · On-site

$68.75 - $90.25/hr

They are seeking a highly experienced GPU Compiler Lead to lead the design and implementation of a high-performance compiler stack for their proprietary GPU architecture. Responsibilities : • Lead ...

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 ...

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How much do compiler jobs pay per hour?

As of Aug 19, 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 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 are the key skills and qualifications needed to thrive as a compiler?

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 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 are popular job titles related to Compiler jobs in California?

For Compiler jobs in California, the most frequently searched job titles are:

What job categories do people searching Compiler jobs in California look for?

The top searched job categories for Compiler jobs in California are:

What cities in California are hiring for Compiler jobs?

Cities in California with the most Compiler job openings:

Compiler jobs near you
Infographic showing various Compiler job openings in California as of August 2026, with employment types broken down into 1% Internship, 96% Full Time, 1% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $42,720 per year, or $20.5 per hour.

Compiler Engineer, Graph Compiler Performance Optimization

Meta

Menlo Park, CA

$183K/yr

Full-time

Posted 7 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

In this role, you will be a member of the MTIA (Meta Training & Inference Accelerator) Software team and part of the bigger AI and Compute Foundations team. The Graph Compiler team drives the development of the top-of-stack compilation pipeline for MTIA — taking PyTorch models, tracing the model graph, lowering and optimizing through FX/Inductor, and mapping to high-performance kernels. Your specific focus will be on performance optimization within the graph compiler: designing and implementing compiler passes that maximize throughput and minimize latency for AI workloads on MTIA hardware.You will work closely with AI researchers to understand emerging model architectures and translate performance requirements into compiler optimization strategies. You will partner with hardware design teams to drive hardware-software co-design, ensuring the compiler exploits new silicon capabilities from day one. You will also collaborate with the Triton/DSL and LLVM compiler teams to deliver cross-stack performance improvements.
Compiler Engineer, Graph Compiler Performance Optimization Responsibilities:
  • Design, implement, and validate graph-level compiler optimization passes targeting performance within the PyTorch Inductor / FX IR compilation pipeline for MTIA
  • Profile and analyze deep learning models to identify graph-level performance bottlenecks such as suboptimal fusion boundaries, excessive memory traffic, and scheduling inefficiencies — then develop compiler solutions to address them
  • Develop and extend automatic fusion strategies to unlock peak hardware utilization across MTIA chip generations
  • Implement memory optimizations including data placement strategies, memory footprint reduction, and data movement elimination to reduce latency and improve bandwidth utilization
  • Build and improve performance analysis tooling to accelerate optimization iteration cycles
  • Collaborate with hardware design teams on hardware-software co-design: informing hardware features from compiler needs and rapidly developing compiler support for new chip capabilities
  • Ensure compiler optimizations are portable and scalable across MTIA chip generations, enabling rapid software bring-up for new silicon
  • Partner with AI researchers to co-design model architectures and compiler optimizations, ensuring models run performantly on MTIA out of the box

Minimum Qualifications:
  • Experience with C/C++ and Python programming
  • Experience in compiler development, performance optimization, or accelerating deep learning models on hardware architectures
  • Understanding of deep learning model execution (graphs, operators, data flow) and how compiler transformations affect end-to-end performance
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:
  • A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in compiler development or accelerating deep learning models on hardware architectures OR a Master's degree and 4+ years OR a PhD and 3+ years of relevant experience
  • Experience with graph-level compiler optimizations such as operator fusion, graph scheduling, memory allocation optimization, dead code elimination, or constant folding in ML compiler stacks
  • Experience with PyTorch internals, PyTorch 2.0 compilation stack (TorchDynamo, FX IR, Inductor), or similar ML compilation frameworks (XLA, TVM, MLIR, Glow)
  • Experience with performance profiling and analysis: identifying compute/memory/I/O bottlenecks, understanding roofline models, and developing systematic approaches to performance tuning
  • Experience with traditional compiler optimizations (loop transformations, vectorization, parallelization, instruction scheduling) and how they apply to ML workloads
  • Experience with AI hardware accelerator architectures (GPUs, TPUs, or custom ASICs) and understanding of how hardware constraints inform graph-level optimization decisions
  • Experience working with deep learning frameworks (PyTorch, TensorFlow, JAX) and understanding their compilation and execution models
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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