Robotics & Computer Vision Engineer

About Us

We are working on cutting-edge technologies at the intersection of automation, robotics, and artificial intelligence. We build intelligent systems that solve real-world maritime problems. We are currently looking for a highly skilled Electrical Engineer to join our dynamic team and help us build the next generation of smart robotic systems.

The Role

We are seeking a highly motivated graduate with a strong background in Electrical and Computer Engineering. The ideal candidate will possess excellent programming skills and the ability to seamlessly integrate software with robotic hardware, utilizing advanced computer vision and image identification techniques.

Key Responsibilities

Algorithm Development: Design and implement software algorithms for autonomous robotic behavior (e.g., path planning, obstacle avoidance, and kinematic control for robotic arms or AGVs).

Computer Vision Integration: Deploy and integrate vision models (e.g., real-time object detection using YOLO, semantic segmentation, or defect recognition) with robotic control systems to enable autonomous decision-making.

Software-Hardware Synchronization: Write clean, efficient, and scalable code to bridge sensors, cameras, and actuators, ensuring ultra-low latency and real-time performance.

Simulation & Testing: Test, debug, and optimize robotic systems in simulated environments (e.g., Gazebo, Webots) before real-world deployment.

Cross-functional Collaboration: Work closely with mechanical engineers and software developers to design robust hardware-software interfaces.

Required Qualifications

Education: BSc/MSc in Electrical and Computer Engineering, Robotics, or a closely related field.

Programming Mastery: Excellent programming skills with a focus on performance and hardware control. Deep knowledge of C/C++ (for embedded systems/control) and Python (for ML/Vision pipelines).

Robotics Frameworks: Proven ability to work with robotic operating systems and middleware (e.g., ROS 1/ROS 2, MoveIt!, or Nav2).

Computer Vision & ML: Strong hands-on experience in Image Processing and Computer Vision. Familiarity with traditional tools (e.g., OpenCV, Point Cloud Library - PCL) and Deep Learning frameworks (e.g., PyTorch, TensorFlow) for image identification.

Problem-Solving: Exceptional analytical skills, strong mathematical foundation, and a hands-on approach to complex engineering challenges.

Language: Fluency in Greek & English (both written and spoken).

Nice-to-Have (Optional)

Edge AI: Experience optimizing and deploying vision models on edge computing devices (e.g., NVIDIA Jetson Nano/Orin, Raspberry Pi, or FPGAs) using tools like TensorRT.

3D Vision: Familiarity working with depth-sensing hardware (e.g., Intel RealSense, LiDAR, stereo cameras) and 3D space reconstruction.

Hardware Protocols: Understanding of communication protocols (e.g., CAN bus, UART, SPI, I2C) to interface with custom PCBs and microcontrollers.

What we offer

Competitive Compensation: A salary package aligned with your experience, skills, and potential.Professional Growth: Continuous learning opportunities and hands-on experience solving complex, real-world maritime engineering challenges.

Innovative Projects: Engagement in high-impact projects that shape the future of autonomous marine systems.

Dynamic Work Environment: A collaborative, supportive, and forward-thinking culture alongside a talented team of passionate engineers.