Início EAU Embedded Firmware Engineer

Início EAU Embedded Firmware Engineer

Embedded Firmware Engineer

Full time na Client of S&K HR Consulting no UAE
Publicado em February 8, 2025

Detalhes do emprego

  • 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.
  • 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 systems performance, reliability, and robustness.
Maintenance and Documentation:
  • Maintain software and hardware documentation.
  • Provide technical support and troubleshooting for deployed systems.
Qualifications:
  • Bachelors degree in electrical engineering, Computer Engineering, or a related field. Masters degree preferred.
  • Proficiency in programming languages such as C, C++, and Python.
  • Proficient with development tools such as GCC, Keil, or equivalent.
Experience:
  • 5+ years of relevant experience in embedded/firmware 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.
  • 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).
  • Experience with version control systems (e.g., Git).
  • Familiarity with hardware design tools such as Altium Designer or equivalent.
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