Software Engineer - Machine Learning (SDV), POWER

This role involves designing, training, and deploying machine learning models optimized for resource-constrained edge hardware in the automotive sector. The candidate will apply data science methodologies to analyze time-series sensor data, perform feature engineering, and optimize model inference for real-time execution on embedded platforms like Raspberry Pi. Key duties include developing application logic in C/C++ and Python, handling noisy sensor data, and validating models against physical hardware or simulators.