Computer Vision Engineer

About the role

Imagine pushing the boundaries of what machines can perceive and decide, refining the intelligence behind autonomous flight systems that operate in the real world. You will evolve existing algorithms and models, and design new ones that allow our systems to perform in increasingly complex and demanding environments.

Key responsibilities

• Develop and implement computer vision algorithms and deep learning models for localization, mapping, object detection, tracking, classification, and general image processing.
• Analyze, extend, and improve the existing code base and models.
• Collaborate with engineering teams such as flight testing, hardware, and sensor fusion to integrate computer vision solutions into prototypes and products.
• Test and evaluate performance, robustness, and reliability of computer vision systems in simulated and real‑world conditions.

Required profile

• Excellent programming skills in C++; experience with Rust is a plus.
• Hands‑on experience with computer vision systems, including both classical techniques and deep learning methods.
• Master’s or PhD degree in Computer Vision, Computer Science, Robotics, Electrical Engineering, or a related technical field.

Required skills

• Proficiency with OpenCV.
• Experience using PyTorch and TensorFlow.