Machine Vision Engineer

• Develop new products based on artificial vision through FPGA.
• Develop image processing algorithms.
• Participate in and support the integration of such algorithms, ensuring correct functioning and performance.

• Knowledge of Visual-SLAM and its use in moving vehicles.
• Experience in artificial vision systems and real-time image processing.
• Experience programming with C++.
• Knowledge of OpenCV.
• Experience in cross-compilation.
• Experience with Linux.
• Experience working with ROS.

What We Value

• Knowledge of hardware acceleration.
• Knowledge of Xilinx FPGAs (VHDL/Verilog, softcores, ARM, etc.).
• Experience in embedded systems.
• Experience in optimisation problems applied to SLAM.
• Experience in deep learning applied to localisation and semantic segmentation (PyTorch, TensorFlow, Python).
• Knowledge of stereo vision.
• Knowledge of Docker.

• Versatile start time (between 08:00 and 10:00 a.m.).
• Private medical insurance.
• Shares for Embention members.
• Common leisure areas in the offices: solarium and fitness centre.
• Free English classes.
• Concentration day.
• Continuous training and personalised annual career plan.
• Work in a dynamic and professional environment.
• Work in a product company where you will be able to see your own developments.

At Embention we have been on a clear mission for more than sixteen years to enable drones to populate our skies. We provide our more than 600 customers in 70 countries with the development of avionics, critical components and high-performance software for their professional UAS (UAVs, drones, eVTOLs) in accordance with aeronautical certification standards. The projects our engineers carry out are very varied, from urban aerial mobility through freight transport to space rocket recovery projects.