Computer Vision Engineer

What you'll work on

• Develop and optimize computer vision algorithms, focusing on tasks such as object detection, tracking, and navigation for real-time edge inference.
• Implement and customize machine learning models and vision frameworks, ensuring seamless integration with existing drone systems and hardware.
• Conduct extensive testing and validation of algorithms in real-world scenarios, fine-tuning parameters and optimizing performance for robust performance in various conditions.
• Evaluate and provide input on appropriate camera sensors, lenses, and onboard computing hardware for vision applications.
• Develop repeatable testing methods and build data pipelines to evaluate and continuously improve the performance of vision models.
• Collaborate with computer vision and robotics experts to leverage the latest advancements in the field and integrate them into the systems.

What we're looking for

• Master or Ph.D. degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• Proven ability to develop high-performance, real-time applications in C++ or Rust, specifically leveraging ROS2 for distributed messaging and OpenCV for real-time image processing or feature detection.
• Strong hands-on experience developing and implementing computer vision systems for real-world, real-time embedded applications.
• Deep understanding of both traditional computer vision techniques (e.g., feature extraction, optical flow, camera calibration) and modern deep learning architectures (e.g., CNNs, Vision Transformers).
• Track record of having implemented and deployed vision applications on robotic platforms in real applications.
• Strong analytical and problem-solving skills, with the ability to design and evaluate complex algorithms in real-world scenarios.
• Effective communication skills and the ability to work collaboratively in multidisciplinary teams, interacting with researchers, engineers, and external stakeholders
• Ability to effectively navigate ambiguity and lead across in a fast paced environment.

Benefits

• Flexible working hours
• Stock Options
• Generous holiday allowance
• Pension plan
• Extended social security package
• Enhanced maternity & paternity leave
• Wellpass membership