Teams at Analog Devices

Architect and develop sophisticated robotic hardware spanning sensors, actuators, motor control, embedded processing, connectivity, and power systems. Translate robotic system requirements into subsystem and silicon requirements, guide product roadmaps, and provide technical leadership to robotics teams, technology groups, sales, and field applications engineers. The role requires hands-on experience taking robotic subsystems from architecture through hardware bring-up, debugging, verification, and deployment, with influence across electrical, mechanical, firmware, controls, AI, and systems disciplines.

Design and develop analog and mixed-signal integrated circuits, including sensor interfaces, data converters, filters, and power systems. Perform simulations, testing, validation, documentation, design reviews, and troubleshooting under mentorship. The role emphasizes developing foundational analog design expertise and collaborating with cross-functional engineering teams.

Develop and implement machine learning models for semiconductor applications, including signal processing, sensor data analysis, and edge computing. Responsibilities include feature engineering, data preprocessing, model evaluation and optimization, ML pipeline development, and collaboration with data scientists and engineers. The role requires Python proficiency, machine learning framework experience, data modeling skills, and knowledge of ML deployment processes.