Senior GPU Compiler Software Development Engineer

Luxoft; Torino; In loco; EUR 55.000 - 80.000; Tempo pieno

Descrizione del lavoro

A technology company is seeking a Senior GPU Compiler Software Development Engineer in Torino, Italy. In this role, you will work on GPU support for the OpenAI/Triton project, develop new features, and optimize performance for neural networks. Candidates should have experience with compiler internals, basic Python skills, and performance analysis. Collaboration with developers and project managers is essential, along with a willingness to contribute to open-source initiatives.

Competenze

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

Mansioni

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

Conoscenze

Compiler internals experience

Basic Python programming

Performance analysis

Understanding of ML technologies

GPGPU computing experience

Experience with PyTorch

LLVM and MLIR experience

Knowledge of ROCm

Descrizione del lavoro

Senior GPU Compiler Software Development Engineer

Specialista Senior / Project Manager

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

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