• Compiler Engineer LLVM

    MathWorks (Natick, MA)


    Compiler Engineer LLVM

     

    + Job: 12382-MCAR

    + Team:Product Development

    + Location:US-MA-Natick

    + Salary Range: $109,800 - $170,200

    + Date posted: 2025-04-01

    Job Summary

    Our group is responsible for the core technology used in MathWorks code generation products. We are doing cutting-edge work on program analysis, language transformation, compiler optimization, and just-in-time compilation for simulation from high-level textual and graphical languages. We generate optimized code for embedded CPUs, GPUs, FPGAs, and other targets. Our optimizing compiler is actively developed by an elite team of talented programming language and compiler experts.

     

    We are seeking a skilled compiler engineer with industrial-strength software engineering skills to help us improve our shared code generation infrastructure.

    Responsibilities

    Design and implement new features in our core code generation infrastructure using your object-oriented and compiler development skills.

     

    Deliver features using test-driven development, writing unit tests, and fast iterations.

     

    Contribute creative workflows and tools to be used by internal and external customers.

     

    Participate in cross-team collaboration across multiple development teams.

    Minimum Qualifications

    + Demonstrated experience in/with compiler development

    + A bachelor's degree and 3 years of professional work experience (or a master's degree, or equivalent experience) is required.

    Additional Qualifications

    + MS + 2 years, or PhD in Computer Science or related technical field.

    + Practical compiler or interpreter implementation experience.

    + Demonstrated ability to dive into and work with large code bases.

    + Strong abstraction, algorithmic, and software architecture skills.

    + Strong communication skills.

    + Experience with LLVM, MLIR, or other intermediate representations is strong plus.

    + Experience writing optimizations for deep-learning code generation a is plus.