Job Description:

We are seeking an Embedded Systems Engineer to develop and maintain the low-level systems that act as the nervous system of ROZOR robots.
You will design firmware, drivers, communication interfaces, and safety-critical logic that bridge sensors, compute units, and mobility hardware.

Your work ensures that ROZOR robots operate with precision, stability, and real-time responsiveness—allowing them to navigate complex indoor environments and perform mission-critical tasks.

Responsibilities:

• Develop and maintain embedded firmware for microcontrollers (ARM, STM32, ESP32, etc.)
• Create drivers for sensors, motors, actuators, encoders, and power systems
• Implement real-time communication protocols (CAN, UART, SPI, I2C, Ethernet)
• Design safety mechanisms, watchdog systems, and hardware-level failsafes
• Optimize embedded software for performance, power efficiency, and reliability
• Integrate embedded components with ROS/ROS2 and higher-level autonomy systems
• Conduct hardware bring-up, board testing, and debugging with oscilloscopes and logic analyzers
• Collaborate with hardware, autonomy, and QA teams to validate embedded systems on ROZOR robots
• Support manufacturing and field deployment by improving robustness and diagnostics

Preferred Qualifications:

• Bachelor’s/Master’s degree (or current student) in Computer Science, AI, Robotics, or related field
• Strong foundation in machine learning and deep learning
• Proficiency in Python, PyTorch or TensorFlow
• Experience training models in detection, segmentation, tracking, or classification
• Hands-on experience with image or point-cloud datasets
• Familiarity with OpenCV, NumPy, and ML tooling
• Strong debugging and experiment evaluation skills
• Ability to work independently in a fast-moving robotics environment