Computer Vision Engineer for Drone Systems

Computer Vision Engineer for Drone Systems

Alpine Eagle

Karlsruhe or Munich, Germany

As a Computer Vision Engineer, you will be instrumental in advancing our drone technology. You will develop and optimize algorithms, train machine learning models, and collaborate with a multidisciplinary team to deliver next-generation drone solutions.

How you will make an impact:

• Design and Implement Algorithms: Develop computer vision algorithms for drone-based applications such as object detection, collision avoidance, and real-time tracking.
• Data Collection and Training Pipelines: Create streamlined pipelines for data collection, training, and validation of machine learning models.
• Collaborate with ML Engineers: Work closely with machine learning engineers to refine and optimize models specifically for aerial scenarios.
• Integration with Hardware: Partner with the hardware team to ensure seamless integration of computer vision models with drone systems.
• Stay Updated: Keep abreast of the latest advancements in computer vision technologies and research, with a special focus on aerial applications.
• Code Reviews and Documentation: Participate in code reviews, maintain thorough documentation, and contribute to team discussions.

What you need to be successful:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. PhD is a plus.
• Proven experience with deep learning frameworks like TensorFlow, PyTorch, or equivalent. Experience with CNN, Object Detectors and Tracking.
• Strong proficiency in Python and C++.
• Experience with OpenCV or other computer vision libraries.
• Familiarity with cloud platforms and deploying CV models in real-world aerial scenarios.
• A hands-on attitude and strong sense of ownership.
• You approach complex problems systematically and document your results.
• You are a team player. You win when the team wins.