Embedded Engineer
Job Details
Skills And Tools:
Job Description
Role-Embedded
Engineer
Duration-6 months,
extendable
Location-Nearby Dubai
Investment Park, Dubai
Benefits: Visa or Work
permit (if own visa)
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
Requirements
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
Benefits
Visa or Work permit (if own
visa)