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We are looking for a candidate to join a team whose goal is developing a high-performance and energy-efficient code targeting a novel HW-accelerator with thousands of cores. You will be able to evaluate the performance of the implemented algorithms in Machine Learning and Artificial Intelligence use cases, either in functional emulators or in real silicon. You will be helping in establishing the foundations and processes of a fastly growing SW team.ResponsibilitiesHave an impact in the team developing high efficient code targeting a novel AI-acceleratorInteraction with the AI-accelerator to depurate functionality and performanceDevelop code to automatically generate highly optimized codeInteract with functional emulators and real siliconMinimum QualificationsMS in Computer Science or a related technical fieldKnowledge of object-oriented programming and STLsGood understanding of parallel programming and vectorizationBusiness fluent EnglishDesired Qualifications3+ years of experience developing in C++ and parallel languages (CUDA/OpenMP/MPI)PhD in Computer ScienceUnderstanding of Machine Learning algorithms and Neural NetworksGood knowledge of profiling & debugging tools/frameworksStrong knowledge of processor and SOC architectureGood foundation of coherence and consistency memory modelsUnderstanding GCC and LLVM compiler infrastructureUnderstanding of compiler optimizations and memory profilersStrong knowledge of C++ coding best practices, writing robust leak/crash free codeExperience in Python or other scripting languagesExperience with basic GitLab-CI or other CI pipeline flows #J-18808-Ljbffr
