Embedded Firmware Engineer

• 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.