IoT Engineer

McEasy is an industry-leading company revolutionizing the fleet management sector. We are dedicated to streamlining operations, improving efficiency, and elevating safety in transportation through innovative technology solutions.

We are seeking a dedicated and experienced IoT Engineer to join our dynamic team. The ideal candidate will bring a deep understanding of telematics solutions and GPS tracker-related technologies, including CANBUS, Lora, and electronics. This role will require a deep knowledge of various microcontroller communication peripherals.

As our IoT Engineer, you will be instrumental in designing, developing, and implementing IoT solutions that enhance our fleet management system. Your creativity and technical expertise will be essential in evolving our systems and delivering exceptional service to our clients.

1. Lead the development and enhancement of our IoT systems for advanced fleet management.
2. Collaborate with cross-functional teams to comprehend system requirements and functionalities.
3. Design and prototype IoT devices, focusing on sensor integration and communication modules.
4. Analyze and filter data sets to provide insights that drive system improvements.
5. Ensure superior performance, quality, and responsiveness of IoT devices.
6. Troubleshoot hardware and software issues, and identify and implement process improvements to mitigate recurring issues.
7. Knowledge in power management is a plus.

1. Bachelor's degree in Computer Science, Electrical Engineering, Mechatronics, or a related field.
2. A minimum of 3 years of experience in IoT system development and deployment.
3. Practical experience and understanding of hardware design, wiring, and troubleshooting.
4. Understanding and experience with CANBUS, Lora, and GSM technologies.
5. Solid understanding of electronics and the communication peripherals of microcontrollers, including GPIO, Analog, SPI, UART, and I2C.
6. Proficiency in programming languages such as Python, JavaScript, and C/C++.
7. Demonstrated experience with TCP, MQTT, and RTMP protocols.
8. Understanding of video streaming technologies.
9. Robust data analysis skills, with experience in data filtering and using data visualization tools.
10. Excellent problem-solving skills and attention to detail.
11. Strong communication and teamwork skills.
12. Prior experience with fleet management systems is highly advantageous.