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 tracking
Architect 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-time
Build 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 scenarios
Collaborate 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 backpack
Ensure 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