Senior Software Engineer – Smart Glove Data Acquisition & Processing_RBCN

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

Experience:

• Bachelor’s degree or above in Computer Science or related fields.
• Strong proficiency in C/C++ with solid engineering practices.
• Experience with Linux system programming.
• Familiarity with sensor communication protocols: I2C, SPI, UART, CAN, USB
• Experience with real-time data processing and signal processing fundamentals
• Understanding of sensor fusion techniques (Kalman filtering, complementary filtering)

Preferred:

• Experience with wearable device development (Smart Gloves, motion capture suits, exoskeletons)
• Background in hand tracking, gesture recognition, or human pose estimation systems
• Embedded development expertise with ARM Cortex-M/R series or similar microcontrollers
• Experience with wireless communication protocols (BLE, WiFi, proprietary RF)
• Knowledge of robotics kinematics and hand anatomy for motion capture applications
• Experience working in international development teams
• Familiarity with ROS/ROS2 for robotics data handling