Embedded Engineer

Role-Embedded Engineer

*Role Type: Outsourced, Full Time, On-Site*

Duration-6 months, extendable

Location-Nearby Dubai Investment Park, Dubai

Benefits: Visa or Work permit (if own visa)

Relocation: NOT included; you have to manage your own flight ticket, local accommodation and transportation for Dubai, UAE


Position Summary: The ideal candidate will be responsible for designing, developing, and maintaining embedded systems for our AI waste sorting solutions. This role involves programming microcontrollers, working with electronic circuits, integrating AI algorithms into our hardware, and leveraging industrial automation expertise.


Key Responsibilities:

Design and Development:

• Develop and implement software for embedded devices and systems from requirements to production and commercial deployment.

• Design, code, test, and debug system software.

• Hardware Integration

• Integrate and validate new product designs.

• Support the design of hardware components and circuits, ensuring seamless integration with embedded systems.

AI Implementation:

• Work closely with data scientists and AI engineers to integrate machine learning models into embedded systems.

• Optimize AI algorithms to run efficiently on low-power, resource-constrained devices.

• Industrial Automation:

• Apply knowledge of industrial automation systems and protocols to enhance the functionality and efficiency of AI waste sorting systems.

• Implement control systems and automation strategies to streamline sorting processes and improve system reliability.

Prototyping and Testing:

• Develop prototypes quickly to iterate on product concepts.

• Conduct thorough testing and validation of the system’s performance, reliability, and robustness.

• Maintenance and Documentation:

• Maintain software and hardware documentation.

• Provide technical support and troubleshooting for deployed systems


Required Qualifications:

Education:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field. Master’s degree preferred.

Experience:

• 5+ years of relevant experience in embedded systems development.

• Hands-on experience with microcontrollers and single-board computers such as Raspberry Pi.

• Experience with electronic circuit design and debugging.

• Experience in industrial automation and control systems.


Technical Skills:

• Proficiency in programming languages such as C, C++, and Python.

• Familiarity with embedded operating systems (e.g., FreeRTOS, Embedded Linux).

• Experience with communication protocols (e.g., I2C, SPI, UART).

• Knowledge of AI and machine learning principles, with experience in deploying models on embedded systems.

• Understanding of industrial automation protocols (e.g., PLC, SCADA, Modbus).

Tools and Software:

• Proficient with development tools such as GCC, Keil, or equivalent.

• Experience with version control systems (e.g., Git).

• Familiarity with hardware design tools such as Altium Designer or equivalent.

Preferred Qualifications:

• Experience in developing AI-driven applications.

• Understanding of waste management systems and related technologies.

• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

• Excellent communication and documentation skills