ML-Driven ERS Design Optimization Engineer
GM Performance Power Units
A leading automotive engineering company in Concord, NC seeks an ERS ML Design Optimization Engineer. This role involves leveraging machine learning for designing and optimizing racing power units. Responsibilities include building neural network surrogates, implementing optimization workflows, and ensuring simulation fidelity. Candidates should have a strong background in engineering along with experience in advanced machine learning tools like PyTorch and TensorFlow. The position emphasizes innovation and efficiency in high-performance environments. #J-18808-Ljbffr GM Performance Power Units
Vacancy posted 5 days ago
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