Computer Vision Engineer

About the position

Kratos Defense & Security Solutions, Inc., is a leading defense technology company focused on uncrewed systems, satellite communications, cyber security/warfare, microwave electronics, missile defense, training, and combat systems. Our customers include the U.S. federal government, foreign governments, commercial enterprises, and state and local government agencies. At Kratos, we prioritize affordability as a cornerstone of our technology. We leverage proven, cutting-edge methodologies and technology to minimize costs, streamline schedules, and mitigate risks, ensuring timely delivery of cost-effective solutions to market. Micro Systems Inc. (MSI), a division of Kratos Defense, is renowned for its expertise in developing, delivering, integrating, and supporting high-performance, cost-effective, uncrewed arial systems and self-driving trucks. As a mid-tier defense contractor, we've demonstrated agility and innovation in providing systems to support National Security. At MSI, we prioritize innovation, collaboration, and growth. Our team collaborates to cultivate a supportive and dynamic workplace, fostering creativity and promoting professional development while honoring personal and family lives. Join our team and help shape the future of autonomous technology within the defense and commercial industry today!

Responsibilities

• Design, develop, and implement computer vision algorithms for applications such as image classification, object detection, and segmentation.
• Train and fine-tune deep learning models (e.g., CNNs, RNNs) for visual data analysis, ensuring high accuracy and performance.
• Perform data preprocessing, augmentation, and develop annotation tools for large-scale image and video datasets.
• Develop and optimize computer vision pipelines for real-time and scalable performance in production environments.
• Collaborate with cross-functional teams, including software engineers and hardware engineers, to integrate vision systems into products.
• Conduct experiments and evaluations to measure the performance and efficiency of vision algorithms.
• Implement and test solutions on various hardware platforms (e.g., GPUs, embedded systems, edge devices).
• Stay up to date with the latest research, trends, and advancements in computer vision and machine learning.
• Troubleshoot and resolve issues related to model accuracy, performance, and system integration.
• Provide technical documentation and support for computer vision solutions and algorithms.
• Ensure the deployment of robust and maintainable vision-based systems in real-world applications.
• Optimize algorithms for computational efficiency, including memory and processing time constraints.

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, Robotics, Mathematics, or a related field.
• Minimum of 2-3 years of professional experience in computer vision or related fields.

Nice-to-haves

• Master's or Ph.D. in Computer Vision, Artificial Intelligence, Machine Learning, or a related discipline.
• Coursework or specialized training in computer vision, machine learning, deep learning, and image processing.
• Proven experience in developing and deploying computer vision algorithms and models for real-world applications.
• Experience with popular deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) and computer vision libraries (e.g., OpenCV).
• Hands-on experience with image and video data processing, annotation, and augmentation techniques.
• Experience working with large datasets and performing data preprocessing and cleaning for model training.
• Familiarity with deploying computer vision models to production environments and optimizing for performance and scalability.
• Experience with software development practices such as version control (Git), debugging, and collaboration in team-based projects.
• Prior work with hardware platforms (e.g., GPUs, edge devices, embedded systems) is a plus.