Remote Mojo Compiler Engineer MLIR/LLVM

Modular

United States

Remote

USD 180,000 - 270,000

Full time

2 days ago
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Benefits offered by this job

Competitive compensation
RSU grants
Team building events
Healthcare coverage

Job summary

Modular is seeking a Back-End Compiler Engineer to design and implement Mojo features, optimize for CPUs, GPUs, and AI accelerators, and shape Mojo’s developer experience. You will work with MLIR/LLVM in a multi-target compiler stack and collaborate across kernel authors and hardware teams.

Join a small, boundary-less team with opportunities to impact language design, tooling, and SDKs while contributing to an ambitious AI infrastructure project.

Qualifications

  • 5+ years working on compilers, runtimes, or language implementations.
  • Hands-on mastery of C++ (Python fluency a big plus).
  • Experience with MLIR and LLVM.
  • Experience optimizing code for CPUs, GPUs or AI accelerator hardware.
  • Have contributed to a real-world compiler project.

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.

Skills

Compilers
C++ mastery
Python fluency
MLIR/LLVM
Performance optimization
Real-world compiler project

Tools

LLVM
MLIR

Job description

Modular is seeking a Back-End Compiler Engineer to design and implement Mojo features, optimize for CPUs, GPUs, and AI accelerators, and shape Mojo’s developer experience. You will work with MLIR/LLVM in a multi-target compiler stack and collaborate across kernel authors and hardware teams.

Join a small, boundary-less team with opportunities to impact language design, tooling, and SDKs while contributing to an ambitious AI infrastructure project.

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