DHL Supply Chain
Machine Learning Engineer
DHL Supply ChainTurkey1 day ago
Full-timeEngineering, Information Technology
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)

Key Skills

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