Compiler Engineer (AI)

Location: Seoul HQ

Company

hirify.global develops high-performance, energy-efficient AI systems and compiler software for its AI hardware.

What you will do

• Design and implement compiler front-end pipelines that translate models from frameworks such as PyTorch into internal representations.
• Develop graph-level optimizations including operator fusion, constant folding, shape inference, and layout transformations.
• Build extensible model-ingestion structures for LLM, VLA, multimodal models, and custom operators.
• Design and evolve a tensor-level kernel language exposing the compiler's internal IR and DSL through a consistent user interface.
• Establish verification mechanisms for correctness throughout model translation.
• Collaborate with software teams and language users to improve end-to-end compilation quality and refine language design.

Requirements

• Bachelor's degree in Computer Science, Mathematics, or a related field.
• Experience or familiarity with compilers, program transformation systems, or related infrastructure.
• Understanding of PyTorch, TensorFlow, ONNX, and their model representations.
• Ability to abstract complex system constraints into consistent, user-friendly programming interfaces.
• Proficiency in Python and at least one systems programming language such as Rust or C++.

Nice to have

• Master's or PhD in Programming Languages, Compilers, Program Analysis, or a related field.
• Experience designing domain-specific languages or user-facing programming models.
• Knowledge of PyTorch compiler internals, Triton, LLVM, MLIR, or TVM.
• Understanding of NPU, GPU, and TPU architectures and their impact on programming model design.
• Experience with graph-level compilation optimizations or open-source compiler and deep learning framework projects.