Senior GPU Compiler Software Development Engineer

Luxoft; Fatih; On-site; TRY 150,000 - 300,000; Full time

Job summary

A leading technology firm is seeking a developer to work on GPU support for OpenAI/Triton. You will develop and optimize features, communicate with various stakeholders, and conduct performance analysis. Candidates should have strong C/C++ skills and experience with compiler internals. This role supports growth in the field of AI and requires collaboration with the open-source community.

Qualifications

• Strong C/C++ programming skills.
• Experience with compiler internals (llvm, gcc or any other).
• Basic Python programming skills.
• Experience in performance analysis.

Responsibilities

• Develop and optimize new features for OpenAI/Triton project for GPUs.
• Communicate with developers, customers, and project managers.
• Implement tests and verify the system.

Skills

Strong C/C++ programming skills

Experience with compiler internals (llvm, gcc or any other)

Basic Python programming skills

Experience in performance analysis

Tools

Docker

CMake

HIP

CUDA

OpenCL

Job description

Project description

Working on GPU support for OpenAI/Triton — a language and compiler for writing highly efficient custom Deep-Learning primitives. Work with the open-source community to analyze, develop, test, and deploy performance improvements for neural networks implemented with Triton on GPUs with ROCm.

Responsibilities

• New features development, support and optimization of OpenAI/Triton project for GPUs. Communication with other developers, customers and project managers. Test implementation, project documentation and verification of system with unit/component/functional tests.

SKILLS

Must have

• Strong C/C++ programming skills
• Experience with compiler internals (llvm, gcc or any other)
• Basic Python programming skills
• Experience in performance analysis

Nice to have

• Basic understanding of ML technologies• Experience with GPGPU (General purpose GPU) computing (HIP, CUDA, OpenCL, etc.)• Experience with PyTorch• Experience with LLVM and MLIR compiler infrastructure, analysis or optimizations implementation• Knowledge of ROCm infrastructure• Experience in CMake, make/ninja build system• GEMM performance fundamentals• Experience with Docker