Sensor融合感知算法-豆包手机助手（北京/深圳）
Core
Design and develop low-power multi-modal perception algorithms for smart terminals by fusing data from various sensors (IMU, barometer, light sensors, Wi-Fi, BLE) using advanced AI/ML techniques.
Role type
Senior IC sensor fusion algorithm engineer (mobile)
Builds
Low-power multi-modal perception solutions for smart terminal products
Domain
Mobile computing + Sensor fusion + AI/ML
Deliverable
production ML models
Required skills
C/C++/Python/Java, Android system architecture, Android Sensor Framework/HAL, time-frequency signal processing, machine learning, deep learning, TensorFlow/PyTorch, sensor fusion algorithms (Kalman, EKF, particle filter)
Preferred skills
Low-power audio/video processing, end-side intelligent algorithm development
Technologies
TensorFlow, PyTorch, Android HAL, Wi-Fi, BLE, IMU
Responsibilities
Design and implement low-power multi-modal perception algorithms; Optimize algorithm deployment for real-time performance and low power consumption; Research and explore cutting-edge AI+low-power platform technologies; Collaborate with product managers and software engineers to deliver functional solutions.
