Embedded Systems Engineer

Job responsibilities:

1. Device Architecture and Development:

• Design and build IoT hardware, including sensors, microcontrollers, and embedded systems.

• Develop and fine-tune firmware to ensure stable and efficient device functionality.

1. Connectivity and System Integration:

• Implement communication protocols such as MQTT, HTTP, and CoAP to enable device connectivity with cloud and network systems.

• Ensure secure, consistent, and reliable data transmission between devices and backend infrastructure.

1. Cloud Platform Integration:

• Connect IoT devices with cloud ecosystems like AWS IoT, Azure IoT Hub, or Google Cloud IoT for data management and analysis.

• Design and maintain APIs to support seamless interaction between hardware and cloud-based services.

1. Security Management:

• Apply robust security protocols to safeguard device data and ensure system integrity.

• Continuously stay informed on current IoT security standards and compliance regulations.

1. Monitoring and Operational Support:

• Track device performance and resolve operational issues to maintain optimal uptime.

• Establish strategies for scalable maintenance, firmware updates, and device lifecycle management.

1. Cross-functional Collaboration:

• Coordinate with hardware teams, software engineers, and DevOps professionals to deliver integrated IoT solutions.

• Offer technical insights and support for successful implementation and deployment of systems.

1. Technical Documentation:

• Maintain thorough documentation covering device specifications, firmware development, and system architecture.

• Compile technical reports and share project progress with stakeholders as needed

• Bachelor's degree in Computer Science, Electrical Engineering, or a closely related field.
• Minimum of 2 years of hands-on experience in developing and designing IoT devices and systems.
• Skilled in programming languages such as C, C++, and Python.
• Experienced with embedded systems and microcontrollers like Raspberry Pi, Arduino, ESP32, and STM32.
• Knowledgeable in cloud-based IoT platforms (e.g., AWS IoT, Azure IoT) and communication protocols.
• Solid understanding of security standards and practices in IoT environments.
• Strong analytical and troubleshooting abilities in dynamic work settings.