CUDA-Optimized ML Performance Engineer
$175k - $300kQognitive
Qognitive is seeking a Machine Learning Performance Engineer to enhance the efficiency of machine learning models. This role focuses on optimizing linear algebra computations using CUDA for GPU acceleration. Candidates should have experience in high-performance computing, as well as programming skills in C++ and Python. A collaborative team is ready to work on innovative projects at the intersection of quantum mechanics and machine learning. The estimated yearly salary ranges from $175,000 to $300,000 USD, plus stock options and bonuses. #J-18808-Ljbffr Qognitive
Vacancy posted 2 days ago
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