Senior Software Engineer – Smart Glove Data Acquisition & Processing_RBCN at BoschGroup

As Senior Software Engineer, you develop data acquisition and processing systems for product Smart Glove and wearable backpack unit, supporting multiple sensors / camera and unified management. You are part of an international development team and responsible for delivering a performant, polished user experience. Your tasks – this is what awaits you Design & Build Smar Glove Data Acquisition • Develop multi-sensor data acquisition system for smart glove and processing unit backpack devices. Supporting but not limited in IMU sensors, pressure sensors • Build sensor fusion pipelines covering data acquisition, calibration, synchronization, and preprocessing • Implement device discovery protocols (mDNS/DNS-SD) for seamless hardware integration between gloves and backpack units • Design ergonomic data capture workflows optimized for human hand motion and body movement trackingArchitect Data Alignment & Synchronization • Design multi-modal data alignment frameworks to synchronize sensor streams from Smart Glove, backpack and external reference systems • Develop timestamp synchronization mechanisms using PTP/NTP protocols to ensure sub-millisecond accuracy across distributed sensors • Implement calibration routines for sensor drift compensation and spatial alignment between glove and body-mounted sensors • Create data validation pipelines to detect and correct misalignment artifacts in real-timeBuild Data Processing & Upload Capabilities • Develop edge computing modules for on-device data preprocessing, filtering, and feature extraction • Implement efficient data compression and encoding algorithms optimized for motion capture data streams • Design reliable data upload mechanisms with resumable transfer, queue management, and bandwidth adaptation • Create data packaging formats that preserve temporal relationships and sensor metadata for downstream AI/ML training • Build offline caching and sync capabilities for interrupted network scenariosCollaborate Across Teams • Partner with algorithm teams to define optimal data formats and sampling strategies for hand pose estimation and gesture recognition models • Work closely with hardware engineers on sensor selection, placement optimization, and signal conditioning for wearable form factors • Support control teams by providing high-quality, time-synchronized datasets for robotic manipulation training • Contribute to firmware development for embedded sensor nodes on glove and backpackEnsure Production Quality • Deploy and maintain acquisition systems on Linux-based edge devices (systemd, containerization, OTA updates) • Implement robust error handling, logging, and monitoring for field-deployed sensor systems • Deliver stable, scalable solutions in an international development environment with focus on wearable robotics applications