AI & Computer Vision Engineer

Responsibilities

• Design and develop real-time computer vision and AI algorithms for mission-critical applications.
• Develop software in C/C++ and Python for embedded and high-performance computing environments.
• Design and implement computer vision, object detection, object tracking, and perception algorithms.
• Develop AI-enabled software supporting EO/IR imagery, advanced sensors, and event-based sensing technologies.
• Evaluate, prototype, and integrate machine learning techniques into operational software systems.
• Optimize software and algorithms for efficient execution on embedded and high-performance computing platforms.
• Develop automated testing, validation, and performance evaluation methodologies.
• Collaborate with multidisciplinary engineering teams to transition research into operational capability.
• Evaluate and prototype emerging technologies including neuromorphic AI, event-driven sensing, and advanced embedded computing.
• Prepare technical documentation, customer presentations, and engineering reports.

Requirements

• U.S. Citizenship
• Active Top Secret Clearance with eligibility to obtain SCI with CI Poly
• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Artificial Intelligence, or related technical discipline.
• 3-5 years developing software using C/C++.
• Experience developing software using Python.
• Experience developing software for computer vision, image processing, or AI/ML applications.
• Experience with object detection, image analysis, tracking, or sensor processing.
• Experience with Linux software development.
• Experience with Git and collaborative software development practices.
• Strong problem-solving and software engineering skills.
• Ability to communicate effectively with technical teams and government customers.

Preferred Skills or Experience

• Experience with one or more of the following: object tracking, sensor fusion, autonomous perception, or advanced computer vision.
• Experience developing AI applications for embedded, heterogeneous, or edge computing platforms.
• Experience applying AI and computer vision techniques to EO/IR imagery, remote sensing, video analytics, or advanced sensor processing.
• Experience with event-based vision, neuromorphic sensing, Spiking Neural Networks (SNNs), or related AI frameworks.
• Experience transitioning AI algorithms into operational software.
• Experience supporting Department of Defense, Intelligence Community, aerospace, or other mission-critical programs.
• Demonstrated ability and interest in learning new technologies and contributing across multiple technical disciplines and programs.