Our solutions are used in battery management systems, automotive applications, and industrial sensor technology. * Collaborate with hardware, firmware, and systems engineers to integrate sensor electronics, data acquisition, and AI inference into real devices (battery stacks, robots, etc) * Develop and benchmark regression and classification models for state estimation, anomaly detection, and remaining useful life prediction in battery‑based systems or robotics * Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field * Solid experience (3+ years) in applied machine learning ideally for sensor‑based systems, e. g. in robotics (perception, control, or monitoring) * Experience with data engineering aspects for sensor data: synchronization, cleaning, labeling, handling of large continuous streams
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