Computer Vision Engineer
Trunk ToolsFull Time
Junior (1 to 2 years)
Candidates should possess a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field, with strong experience in computer vision algorithms like object detection, tracking, and identification. Proficiency in depth sensing, 3D reconstruction techniques, camera setup and calibration, and computer vision libraries such as OpenCV, PyTorch, TensorFlow, and CUDA is required. Experience developing in C++ and/or Python for high-performance vision applications, along with a strong understanding of camera hardware and imaging pipelines, is essential. The ability to design experiments, analyze results, and iterate quickly in a collaborative engineering environment is also necessary.
The Computer Vision Engineer will develop and implement object detection and identification algorithms for real-time applications, and design and optimize depth sensing and 3D mapping pipelines by integrating data from cameras and other sensors. Responsibilities include specifying, configuring, and calibrating camera systems, developing tools for camera calibration, synchronization, and data acquisition, and fusing data from multiple cameras/sensors to enhance perception system accuracy and robustness. The role involves collaborating with robotics, controls, and systems engineers to integrate computer vision into robotic platforms, and conducting experiments to evaluate performance and refine algorithms for accuracy, efficiency, and scalability.
Develops autonomous flight technology for aircraft
Merlin Labs develops autonomous flight technology, specifically the Merlin Pilot, an advanced system designed to operate aircraft without human intervention. This system can be integrated into various types of aircraft, making it adaptable to different sizes and ages. The technology is being developed in collaboration with aviation authorities like the U.S. Federal Aviation Administration and the Civil Aviation Authority of New Zealand to ensure it meets safety and regulatory standards. Unlike competitors, Merlin Labs takes a phased approach by initially pairing the autonomous system with human pilots, which helps ensure safety and build trust in the technology. The goal is to provide a scalable solution for commercial airlines, cargo transport companies, and private aircraft owners, positioning Merlin Labs as a significant player in the future of aviation.