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Specialist Engineer - R&D

Otokoç Otomotiv

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Location:
Turkey , Çayırova, İstanbul

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are looking for a passionate Engineer – R&D (Robotics Software Engineer) who will join our team at R&D Directorate.

Job Responsibility:

  • Contribute to the development of high-quality robotics algorithms in C++ and Python, focusing on real-time performance and reliability in autonomous systems
  • Assist in implementing and refining navigation, localization/mapping and motion planning solutions within the ROS 2 framework
  • Support integration and testing activities on embedded Linux platforms, including basic debugging, simulation, and performance tuning
  • Collaborate with cross-functional, international agile teams, participating in code reviews, sprint planning, and knowledge-sharing sessions

Requirements:

  • Bachelors or Masters degree in Mechatronics, Computer Science, or a related field
  • Solid foundation in C++ (preferably C++11 or later) and Python
  • Understanding of multithreading and multiprocessing concepts
  • Understanding of Path Planning, Coverage Planning, and Trajectory Generation, Motion planning
  • Familiarity with ROS 2 architecture, including components like rclcpp, rclpy, and tf2
  • Basic knowledge of DDS middleware (e.g., Fast DDS, Cyclone DDS) and DBus communication concepts
  • Academic or project exposure to SLAM (e.g., Cartographer, GMapping, RTAB-Map) and localization methods such as AMCL
  • Interest in sensor fusion techniques (IMU, Lidar, GNSS) and basic understanding of EKF/UKF principles
  • Familiarity with the Navigation2 (Nav2) stack, costmaps, and path planning concepts
  • Exposure to libraries like OpenCV, NumPy, PCL, or Eigen for visual or geometric data processing
  • Understanding of version control systems (e.g., Git), agile development methodologies, and embedded debugging tools
  • Strong analytical and problem-solving abilities with a research-driven mindset
  • Excellent communication and collaboration skills to effectively work with multidisciplinary teams
  • Adaptability to new technologies and a passion for continuous learning

Additional Information:

Job Posted:
February 06, 2026

Expiration:
April 02, 2026

Work Type:
On-site work
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