On behalf of our client XenomatiX, we are looking for an AI & Computer Vision Engineer.
Are you passionate about AI, Computer Vision and developing next-gen software that has a real-world impact?
You will become part of the R&D team developing AI and vision-based applications for innovative LiDAR-sensors. You will work on challenging technologies used in industrial automation, Autonomous Driving (AD), road scanning and many other high-tech applications.
If you enjoy solving complex mathematical and technical challenges while changing the world, this could be the opportunity you're looking for!
These are your main responsibilities:
- Design and develop AI, Computer Vision and 3D-algorithms.
- Research new algorithms and improve existing solutions to increase performance and reliability.
- Translate research concepts into robust, production-ready software.
- Develop software in Python and C++ for advanced image processing, signal processing and machine learning applications.
- Validate and verify software implementations through testing and continuous improvements.
- Collaborate closely with software, hardware and R&D engineers to develop innovative sensing solutions.
What You'll Need to Succeed:
- A Master's degree in Computer Science, Software Engineering, Mathematics or another relevant technical field.
- Strong interest in AI, Computer Vision, Image Processing and Machine Learning.
- Strong knowledge in Python.
- Solid C++ skills.
- A solid mathematical foundation, especially in linear algebra and geometry.
- Experience with Computer Vision, 3D technologies or signal processing is a strong asset.
- Good communication skills and the ability to work independently and in team.
- Excellent English communication skills.
What's in it for you?
- Salary package with extralegal benefits matching your experience and expertise.
- Flexible working hours.
- The opportunity to work on cutting-edge technology.
- A dynamic and entrepreneurial company where innovation is encouraged.
- Motivated colleagues with extensive technical expertise.
- Team events and an open, collaborative company culture.
Sounds interesting?
Contact me via e-mail ([email protected]) or apply on LinkedIn!
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