Senior GPU Compiler Software Development Engineer focusing on GPU support for OpenAI/Triton, a language and compiler for efficient custom deep-learning primitives.  Responsibilities include new feature development, optimization, and support for Triton on GPUs using ROCm.  Collaboration with developers, customers, and project managers is crucial.  The role requires testing, documentation, and verification using unit/component/functional tests. The position involves working with the open-source community to enhance neural network performance.

<p><span style="color: rgba(0, 0, 0, 0.6);">Luxoft, a DXC Technology Company (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. </span></p>

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                        Project description
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                         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.
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                    <h5>Responsibilities</h5>
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                                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.
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                    <h5>Skills</h5>
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                        Must have
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                                Strong C/C++ programming skills
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                                Experience with GPGPU (General purpose GPU) computing (HIP, CUDA, OpenCL, etc.) or Experience with compiler internals (llvm, gcc or any other)
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                                Basic Python programming skills
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                                Experience in performance analysis
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                        Nice to have
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                                Basic understanding of ML technologies
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                                Experience with PyTorch
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                                Experience with LLVM and MLIR compiler infrastructure, analysis or optimizations implementation
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                                Knowledge of ROCm infrastructure
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                                Experience in CMake, make/ninja build system
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                                GEMM performance fundamentals
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                                Experience with Docker
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                    <h5>Other</h5>
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                                <p class="caption-xs-bold">Languages</p>
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                                    English: B2 Upper Intermediate
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                                <p class="caption-xs-bold">Seniority</p>
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                                    Senior
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