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GPU Compiler Engineer

A

Apus Network

4 - 5K USD
Full-time
Remote
PythonC/C++GitGPUCUDALinux
  • Design, develop, and maintain the clang/LLVM compiler toolchain for GPUs.
  • Optimize GPU programs to improve performance.
  • Communicate with hardware and software teams to resolve engineering issues.
  • Develop and optimize GPU compilers (both front-end and back-end).


  • Master's degree or higher in Computer Science, Electronic Engineering, Communications, or related fields, preferably from QS200 universities.
  • 3+ years of experience in GPU compiler development (5+ years for senior engineers).
  • Familiar with basic principles and optimization techniques of compilers.
  • Proficient in C, C++, or Python.
  • Proficient with software development tools such as Git, Linux, etc.
  • Strong problem-solving and communication skills.
  • Additional experience is a plus:
  • Familiarity with CUDA PTX assembly instructions or AMDGPU assembly instructions.
  • Familiarity with CUDA architecture and Tensor Core architecture.
  • Familiarity with GPU programming models such as CUDA, HIP, OpenCL, OpenMP, etc.
  • Familiarity with GPU thread synchronization, memory consistency, and related technologies.
  • Experience optimizing GPU kernel programs.