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Prognostics Engineer: Edge ML for Vehicle Health

Optimal Staffing

Optimal Staffing seeks a Prognostics Research Engineer to own the end-to-end prognostic feature lifecycle. You will fuse physics-based modeling with ML to create hybrid models that predict degradation in EV/ICE powertrains and deploy these models on resource-constrained ECUs. You will lead DSP and time-series analysis, develop FDI frameworks, and translate MATLAB/Simulink concepts into production-quality C++ code for on-vehicle systems. #J-18808-Ljbffr Optimal Staffing

Vacancy posted 2 days ago
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