Machine Learning Engineer

Qualifications

• Bachelor’s degree in Electronics Engineering, Mechatronics, Electrical & Electronics Engineering, or a related field
• Minimum 2 years of experience in electronic hardware or embedded systems development
• Proficiency in C/C++ for embedded programming (STM32, ESP32, or similar microcontrollers)
• Experience with communication protocols such as SPI, I2C, UART, CAN, Modbus
• Proficiency in debugging tools (e.g., ST-Link, logic analyzer, oscilloscope)
• Experience in firmware-hardware co-debugging and validation
• Solid foundation in analog and digital circuit design and PCB design (Altium Designer, KiCad, or Eagle)
• Ability to document hardware, firmware, and test procedures clearly and systematically
• Experience in testing and debugging using multimeters, oscilloscopes, and signal generators
• Strong analytical and troubleshooting abilities
• Comfortable working in a multidisciplinary R&D team environment
• No military obligation for male candidates
• Residing in Istanbul
  
  
  

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Job Description

• Design, develop, and test electronic hardware and embedded systems for logistics automation and technology projects
• Support mechanical design tasks including enclosure design and 3D prototyping when needed
• Develop and maintain firmware for embedded platforms (bare-metal or RTOS-based)
• Conduct hardware validation, system integration, and performance testing
• Collaborate with cross-functional teams in automation, mechanical, and software domains
• Prepare and maintain technical documentation, BOMs, schematics, and test reports
• Participate in R&D innovation projects aimed at improving logistics efficiency and sustainability
• Ensure compliance with relevant standards (CE, FCC, EMC/EMI)
• Manage version control and project documentation using Git and project tracking tools (Jira, Trello, Notion)
  
  
  

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Nice to Have

• Experience with IoT systems (MQTT, HTTP, RESTful APIs)
• Knowledge of wireless communication protocols (BLE, Wi-Fi, UWB)
• Python scripting for automation or testing
• Exposure to industrial automation (PLC programming, sensor integration, Modbus/CANopen communication)