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), FPGAs, or specialized neuromorphic processors. Conduct power profiling, energy-per-inference measurements, and latency benchmarking on physical edge hardware platforms. Build strong collaborations
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programming Experience in developing, debugging and profiling massively parallel codes Excellent written and oral communication skills Ability to work independently and to participate creatively in
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programming with one or more common parallel programming models, like MPI or OpenMP. Experience in heterogeneous programming (i.e., GPU programming) and/or developing, debugging, and profiling massively
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; and one-sided asynchronous programming models. Experience in heterogeneous computing, developing and debugging massively parallel algorithms and code performance profiling are a plus. Special
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ecosystems such as CUDA and/or AMD ROCm/HIP. Experience with performance profiling and optimization of scientific applications, particularly molecular dynamics and machine learning applications
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, and knowledge of quantum algorithms, quantum error correction, fault-tolerant computing, or quantum resource estimation. Experience with performance modeling, benchmarking, profiling, and