Job Description

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

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

Qualifications

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