GPU Compiler Engineer

Apus Network; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Apus Network is seeking engineers to design, develop, and maintain the clang/LLVM compiler toolchain for GPUs. You will optimize GPU programs to boost performance and collaborate with hardware and software teams to resolve engineering issues.

The role includes developing and optimizing GPU compilers across front-end and back-end stages. Ideal candidates hold a Master’s degree or higher in CS/EE/related fields and have 3+ years (5+ for senior) in GPU compiler development, with strong C/C++/Python

Qualifications

• Master's degree or higher in Computer Science, Electronic Engineering, Communications, or related fields.
• 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.

Responsibilities

• 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).

Skills

Problem-solving

Communication

Education

Master's degree or higher in CS/EE/Communications

Tools

C

C++

Python

Git

Linux

Job description

• 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.