CareerPlan

AI Compiler Intern, CUDA Tile IR - Summer 2027

Switzerland, ZurichInternship2026-11-03 → 2026-11-10

Core

Improving the performance and expressivity of CUDA Tile IR, a new way to program NVIDIA GPUs for deep learning workloads.

Role type

Deep learning compiler engineering intern

Builds

CUDA Tile IR compiler optimizations and language constructs

Domain

Deep learning, GPU architecture, compiler engineering

Deliverable

production ML models

Required skills

C/C++ programming, software design, debugging, performance analysis, test design

Preferred skills

MLIR, LLVM, XLA, deep learning models and algorithms, deep learning framework design, open-source contributions, CPU/GPU architecture knowledge, CUDA/OpenCL programming

Technologies

CUDA Tile IR, NVIDIA GPUs, MLIR, LLVM, XLA

Responsibilities

Analyze deep learning networks and develop compiler optimization algorithms, add new constructs to the language, expand support to new hardware generations, collaborate with deep learning software framework and hardware architecture teams