GPU Compiler Software Development Engineer (GPU, CUDA - must)
Descrizione dell'offerta
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
Other
Languages
English: B2 Upper Intermediate
We care about your development and work-life balance. Here are some of the benefits you’ll enjoy:
✨ Flexible working hours
Access to Luxoft Training Center (technical & leadership courses)
Continuous learning & development programs
Employee discounts and perks
⚡ Dynamic and fast-paced projects
Knowledge-sharing communities
Brainstorming sessions and idea-sharing meetings