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Gpu compiler software development engineer (gpu, cuda - must) (surbo)

Surbo
Luxoft Italy
Pubblicato il 8 gennaio
Descrizione

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
Friendly company culture
Team-building events & celebrations

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