Deploy and optimize AI models on embedded and edge hardware (e.g., microcontrollers, edge gateways) * Collaborate with hardware, firmware, and systems engineers to integrate sensor electronics, data acquisition, and AI inference into real devices (battery stacks, robots, etc) * Master's degree or PhD in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, or a related field * Experience with data engineering aspects for sensor data: synchronization, cleaning, labeling, handling of large continuous streams
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