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The role involves integration and validation of dynamic simulation models for HIL real-time closed loop simulation. Responsibilities include communication model design, troubleshooting bench issues, automating tasks with programming, and delivering effective HIL model rollouts while ensuring process efficiency.
The Senior Prognostics Data Engineer will design and deploy advanced signal processing methods for prognostics applications, lead failure mode analysis, analyze sensor data, develop health monitoring models, and optimize signal processing algorithms, collaborating with cross-functional teams and fostering continuous learning.
As a Senior Prognostics Data Engineer, you will conduct failure mode analysis, analyze sensor data, develop health monitoring models, and collaborate on predictive maintenance solutions to enhance automotive prognostics systems.