Company Description
Pixels on Target is dedicated to delivering cutting-edge thermal optic products designed with the latest disruptive technologies to provide unmatched capabilities for those safeguarding our freedom. We work closely with our clients to develop customized solutions that meet their mission requirements, whether by custom development or modifying existing designs.
Role Description
This is a full-time on-site role for a Computer Vision Engineer at Pixels on Target LLC in Sunrise, FL. The Computer Vision Engineer will be responsible for developing and implementing computer vision algorithms, working on pattern recognition, vision-based navigation systems, visual inertial-based localization, visual SLAM (Simultaneous Localization and Mapping), robotics, and data science projects to enhance our thermal optic products, and collaborating with the team to optimize performance.
Responsibilities and Duties:
• Develop and optimize visual inertial navigation algorithms for drones, focusing on open-source visual inertial-based localization and visual SLAM techniques.
• Implement and customize visual inertial navigation frameworks, ensuring seamless integration with existing drone systems and hardware.
• Conduct extensive testing and validation of navigation algorithms in real-world scenarios, fine-tuning parameters, and optimizing performance for robust and accurate navigation.
• Evaluate and select appropriate sensors, cameras, IMUs, and other hardware components for visual inertial navigation systems.
• Develop and maintain calibration and synchronization procedures for visual inertial sensor setups, ensuring accurate data fusion and pose estimation.
• Develop repeatable testing methods to evaluate the performance and accuracy of the system for each iteration.
• Collaborate with computer vision and robotics experts to leverage the latest advancements in the field and integrate them into visual inertial navigation systems.
• Document and present research findings, technical specifications, and implementation details to internal and external stakeholders.
• Provide technical guidance and support to cross-functional teams during the implementation and deployment of visual inertial navigation systems in real applications.
Qualifications and Skills:
• Master’s or Ph.D. degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• Strong hands-on experience in developing and implementing visual inertial navigation systems for drones, with a focus on open-source visual inertial-based localization and visual SLAM frameworks.
• Deep understanding of computer vision techniques, including feature detection and tracking/matching, bundle adjustment, optical flow, depth estimation, and camera calibration.
• Excellent knowledge of sensor fusion techniques, including integrating visual and inertial data for accurate pose estimation and localization.
• Expertise in optimization frameworks for visual inertial navigation systems.
• Proficiency in programming languages such as C++, Python, or MATLAB, and thorough experience with ROS2 and OpenCV.
• Track record of having implemented and deployed visual inertial navigation systems 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.
Pixels On Target LLC is an equal opportunity employer.