Job Responsibilities
- Engage in continuous research to enhance the functionality and efficiency of embedded systems, focusing on micro-computer and LiDAR technologies for real-time applications.
- Apply machine learning techniques to analyse real-time data collected from hardware devices, enabling the detection of elevator levelling issues on the fly.
- Create and fine-tune algorithms for processing and interpreting complex data sets to improve system accuracy and reliability.
- Continuously monitor, troubleshoot, and optimise embedded software to maintain high system performance and reliability.
- Design and implement robust embedded software for micro-computer-based hardware devices, ensuring optimal performance in data collection and processing.
- Develop software solutions that effectively integrate with LiDAR technology for accurate and efficient data acquisition, particularly in measuring elevator floor levelling.
Job Requirements
- Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or a related field.
- Proven experience as an Embedded Software Engineer or similar role.
- Proficiency in C/C++ and other programming languages.
- Experience with embedded systems and microcontrollers.
- Familiarity with machine learning concepts and data analysis.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.