Mojo Compiler Engineer

Modular is on a mission to revolutionize AI infrastructure by rebuilding the AI software stack. They are seeking a Mojo Compiler Engineer to design and evolve the Mojo compiler, focusing on creating new language features and optimizing performance for AI systems.

Responsibilities:

• Craft and implement new Mojo language features on top our MLIR-based compiler architecture
• Dream up and realize optimization passes that make GPUs, CPUs, and accelerators sing in harmony
• Shape the developer experience for Mojo — from syntax to performance semantics
• Collaborate with the Modular core teams, researchers, and an emerging open-source community
• Help define what "next-generation language design" means in the age of AI

Requirements:

• 3+ years working on compilers, runtimes, or language implementations
• Hands-on mastery of C++ (Python fluency a big plus)
• Familiarity with compiler development frameworks such MLIR and LLVM
• Understanding of type systems, compiler optimization theory, and language semantics. (those who read the Pierce's Types and Programming Languages, and can present a proof, will skip an interview)
• Contributions to Clang, GCC, Swift, Rust, Dart, or another real-world programming language implementation
• Experience with HPC or accelerator ecosystems (CUDA, SYCL, OpenCL, etc.)
• Experience working in type-system-heavy programming languages (Rust, Scala, Haskell)