Principal Computer Vision Engineer

Sourced from simplify.jobs

ZeroMark is seeking a Principal Computer Vision Engineer to develop and optimize advanced computer vision algorithms for aerial object detection and tracking in AI-driven counter-drone systems. The role involves researching new CV and deep learning techniques, collaborating with cross-functional teams, and ensuring real-time performance in defense applications. Ideal candidates have a Master's/PhD in a related field, experience in computer vision and object detection, and strong programming skills in Python/C++ with OpenCV, TensorFlow, or PyTorch.

• Contribute to the implementation of computer vision algorithms for aerial object detection and tracking.
• Conduct research and stay up-to-date with the latest advancements in computer vision and deep learning to ensure solutions remain at the forefront of technology.
• Collaborate with cross-functional teams, including software engineers, hardware engineers, and data scientists, to integrate computer vision solutions into defense systems.
• Optimize and enhance existing algorithms for improved accuracy, efficiency, and real-time performance.
• Analyze and interpret complex data sets to improve detection and tracking accuracy.
• Help ensure compliance with industry standards and regulatory requirements in all developed solutions.

• Master's or Ph.D. in Computer Science, Electrical Engineering, or related field with focus on computer vision and machine learning.
• Minimum of 2 years of experience in computer vision and object detection.
• Strong programming skills in Python and C++, and familiarity with OpenCV, TensorFlow, PyTorch, or similar libraries.
• Proven experience in developing and deploying machine learning and deep learning models in real-world applications.
• In-depth knowledge of image processing, feature extraction, object detection, and tracking algorithms.
• Excellent problem-solving skills and ability to think critically and innovate.
• Strong communication skills, both written and verbal, to convey complex technical concepts to non-technical stakeholders.
• Ability to work effectively in a team-oriented, collaborative environment.

• Experience with drone technology and UAV systems.
• Knowledge of radar, LIDAR, and other sensing technologies.
• Experience in 3D perception or similar fields.
• Familiarity with cloud computing platforms and edge computing.