Hybride Python Software Engineer

You will be involved in implementing new features for their own monitoring system, bug fixes, as well as live software support when the system is in operation. The whole software suite is designed and maintained in-house, and they are continuously looking for new ways to improve its stability, as well as working with clients to develop new features and stay on the cutting edge of offshore monitoring. You can be involved in anything from object detection algorithms, 3D visualization or UX improvements, to testing, QA or networking challenges, as they look to put you in a position where your skills shine the most. Working for at this organization will give you a lot of responsibility and flexibility in how you implement changes, and offers flexible remote working, although being based in the Netherlands is preferred. You will be working in a small team to ensure our own Product stays ahead of the competition, and will contribute rapidly and securely to a rapidly improving codebase.

• 2-3 years of software development experience
• Experience with Python, Numpy
• Experience with Git
• Experience with MongoDB
• Experience with Linux (Ubuntu/Debian preferred)

• A varied work environment with a young and flexible team
• A healthy work-life balance
• The opportunity to further develop yourself in various disciplines and work for various clients including installation contractors and windfarm developers
• An industry-competitive salary
• Good coffee, lunch and a laptop.
• Offers flexible remote working

Working at a fast growing company in the offshore renewables industry, is this something for you?, They are involved in cable installation, from the engineering concepts to the execution. As part of their commitment to delivering the most reliable cable installation they have developed a multi-beam sonar based cable monitoring system. This system uses image processing and 3D object detection to detect and calculate cable position and shape, as well as other parameters essential for cable installation, in real time and with minimal operator input, and visualizes this data clearly and concisely to the bridge of the vessel. As well as this solution, the organization is constantly involved in R&D consultancy and looking to expand and implement cutting-edge technologies across the company. For example, currently we are working on using LiDAR technology found in self-driving cars to more accurately model cable behavior.