OverviewDirect message the job poster from Energize GroupYou’ll be part of a team working on cutting-edge AI models, algorithms, and performance optimization techniques for everything from small-scale edge devices to large-scale distributed and hybrid architectures. This role sits within the AI Models group, which focuses on algorithmic and application research to drive software-hardware co-optimization and develop novel ML/Hybrid-AI methods for industries such as semiconductor processing and healthcare.What You’ll Do:Represent and model AI/ML workloads for performance evaluation of exascale systemsAnalyse AI models/workloads to create benchmarks and mini-apps for performance testingStudy performance optimization of deep learning workloads for exascale systemsExplore emerging AI/ML algorithms for custom architectures to enable SW-HW codesignStay up to date with the latest AI/ML research and implement state-of-the-art techniquesContribute to high-impact international projects such as the EuroHPC DARE project, aimed at advancing Europe’s independence in high-performance computing and AIWhat they OfferThe opportunity to join a world-class research environment at the forefront of AI and computingOpen, multicultural, and collaborative workplace with real opportunities to take initiativeContinuous development through in-house learning programs to grow your technical and personal skillsCompetitive salary package with comprehensive benefits, pension, healthcare, and additional perksPhD or Masters DegreeStrong background in parallel programming with proven skills in CUDA and PythonExperience with modern Deep Learning frameworks (PyTorch being the most important)Familiarity with distributed training tools (Ray, Dask, PyTorch Lightning)Knowledge of optimization techniques (quantization, pruning, distributed training)Skilled in software performance analysis and optimizationPrior experience in AI optimization for compute architectures is a plusUnderstanding of performance analysis tools and hardware optimizationStrong communication skills and a collaborative mindsetIf you’re excited by the idea of shaping the future of AI performance engineering and working on projects with global impact, I'd love to hear from you.Feel free to reach out for more information:+32 2894 16 82davidf@energizerec.comLocationLeuven, Flemish Region, BelgiumSeniority levelMid-Senior levelEmployment typeFull-timeJob functionResearchIndustriesStaffing and Recruiting
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