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experimental data and workflows. The team drives innovation in algorithm design, GPU-accelerated computing, and quantum-ready methodologies applicable to complex scientific problems across the experimental
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programming and code porting on accelerators (FPGAs, GPUs) are being developed, as well as the development of RISC-V applications in scenarios where the use of open hardware is necessary. Another research topic
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development. You’ll have access to state-of-the-art high-performance computing infrastructure and GPU clusters essential for conducting cutting-edge AI, software engineering, and security research. Salary range
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frameworks, e.g., Caffe, TensorFlow, PyTorch, and GPU-acceleration frameworks, e.g., CUDA will be a plus. Outstanding SW development and programming skills in C++, Python, ROS tools and libraries. Excellent
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provide competitive compensation packages and full support for conference travel and professional development. You'll have access to state-of-the-art high-performance computing infrastructure and GPU