Computer Vision Engineer

dotOcean is seeking a Computer Vision Engineer to contribute to the development of autonomous perception systems. The engineer will be responsible for designing, developing, and testing computer vision algorithms for vehicles and situational awareness tools. This includes collaborating with robotic engineers on system integration, AI engineers on model development, and software engineers on implementation. A solid background in image processing, object detection, and related computer vision techniques is essential. The engineer reports to project or product leads and the R&D Manager.

Key Responsabilities

• Developed deep learning-based object detection algorithms for identifying ships, buoys and floating obstacles, enhancing 360° situational awareness in both the VISOR product for human operators and the AYB product for autonomous vessels.

• Designed and integrated multi-sensor fusion algorithms combining inputs from RGB cameras, thermal cameras, LiDAR, and radar, improving the data quality for decision-making in USVs and operator interfaces via the dotOcean cloud platform.

• Implemented video enhancement techniques to compensate for fog and low-visibility conditions, addressing key challenges in maritime environments.

• Integrated real-time video streaming (e.g., using WebRTC) over various wireless links, ensuring consistent video quality for operators in the Remote Operating Center (ROC).

Key Competencies

• Problem Solving & Analytical Thinking- Analyzes complex image data to solve visual perception problems. Develops strategic algorithms for image recognition and object detection.

• Innovation & Creativity - Develops innovative algorithms for image processing and analysis. Creates solutions for image recognition and object detection challenges. Seeks process improvements with innovative solutions.

• Quality Focus & Precision - Thoroughly tests computer vision algorithms and systems to ensure high accuracy and reliability. Refines and optimizes algorithms through regular testing.

• Collaboration & Communication - Communicates complex technical concepts clearly to both technical and non-technical team members. Collaborates closely with robotic, AI and software engineers on integrated solutions.

• Proactivity & Initiative - Proactively identifies opportunities to improve computer vision system performance. Anticipates potential problems and risks in computer vision projects.

• Data-Driven Approach - Analyzes relevant data to enhance the effectiveness of computer vision models. Uses data to optimize object detection and image recognition algorithms.

Technical Competencies

• Master's Degree in Engineering or Physics

• Real-time video processing using OpenCV and NumPy: Ability to manipulate and analyze video data using popular libraries.

• Implementation of RTSP, WebRTC, and live streaming protocols: Expertise in low-latency video transmission.

• Deep learning-based object detection: Proficiency in using models like YOLO, Faster R-CNN, and SSD for identifying objects in video.

• Multi-sensor fusion (LIDAR, RADAR, thermal imaging): Capacity to integrate data from various sensors for enhanced detection and navigation.

• GPS and IMU data fusion for geolocation: Combining location and motion data for accurate object tracking.

• At dotOcean, you’ll work with the latest technologies in autonomous systems, automated operations and cloud technology.

• We’re a growing team focused on collaboration, coaching and personal development. And yes, there’s always laughter!

• We foster an open environment where active listening and the sum of all parts are valued. You’ll grow both professionally and personally.

• After a week of hard work, we often head to the café to unwind. Our party committee also organizes fun activities and events.

• With 40-hour workweeks and 12 additional vacation days per year, we ensure you have the perfect work-life balance.