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the next generation of AI leaders, mentor students on groundbreaking research projects with access to state-of-the-art GPU hardware, forge partnerships with industry and academia, and contribute to AI
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into a cloud environment. Minimum two to three years of experience using PyTorch or Tensorflow, including optimizing code for GPU clusters Experience building advanced GenAI workflows such as retrieval
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across Meta. Details Our Mandate Our org owns Meta's hardware tech strategy for AI - finding innovative hardware for GPUs and Meta's custom AI chips, as well as CPU, memory, and storage as well as getting
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responsible for AI/ML research infrastructure, including managing and optimizing on-premises GPU resources and AWS cloud services such as Bedrock and SageMaker. Responsibilities include deploying, monitoring
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electromagnetics A good understanding of the physics of scattering and antenna radiation Programming experience in C/C++ is necessary while experience in parallel and GPU computing is most desired More Information
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, enhanced sampling, QM/MM) Experience improving performance and scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation
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one or more of the following areas: Programming, Algorithms and computational complexity, Programming languages and compilers, Computer graphics, and Parallel and GPU computing. A typical teaching
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reasoning tasks such as camera pose estimation, view synthesis, and 3D scene understanding. Daily activities include coding and debugging deep learning models, conducting experiments on GPU servers, analyzing
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configuring and managing environments in AWS/Azure or High-Performance Computing clusters for GPU-intensive tasks. Desired: Master’s degree in computer science, Data Science, Digital Humanities, or a related
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of Medicine, Hospital, Translational Medicine Research Center (KUTTAM), and Koç University Is Bank Artificial Intelligence Research Center (KUIS AI). Koç University is home to Türkiye’s largest GPU cluster