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# Computer Vision Software Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Dayton, OH, United States
- **Experience:** Experienced
- **Salary:** $69,300.0 - $158,000.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Adobe InDesign, Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Macintosh Application Environment, Computer Vision, Microsoft Azure, C++ (Programming Language), Cloud Computing, Code Review, Continuous Delivery, Continuous Integration, Data Stores, Relational Databases, DevOps, Python (Programming Language), MATLAB, Machine Learning, NoSQL, OpenCV, Unstructured Data, Google Cloud, Pytorch, Backend, Gitlab, Kubernetes, Software Version Control, Docker, Programming Languages, Microservices
- **Published:** September 18, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9175831/computer-vision-software-engineer

## About the Role

* 3+ years of experience developing algorithms to extract, track, and analyze features in imagery
 * Experience with programming languages such as Python, MATLAB, C, and C++
 * Experience creating and testing modules and components for compliance with design specifications
 * Experience with containerization solutions such as Podman or Docker
 * Experience with workflows, web parts, site maintenance, and APIs
 * Ability to participate in design and code reviews and work effectively with designers, backend developers, and product managers
 * Ability to create solutions within a collaborative, cross-functional team
 * Active TS/SCI clearance; willingness to take a polygraph exam
 * Bachelor's degree in a STEM field

Nice If You Have:

 * Experience working in an Agile environment
 * Experience with machine learning algorithms and using Python libraries, including PyTorch or OpenCV
 * Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
 * Experience working in a microservices or distributed application environment
 * Experience with Kubernetes for scalable sensor deployment and management, including in proliferated systems
 * Knowledge of source control such as GitLab
 * Knowledge of DevOps continuous integration and continuous deployment
 * Knowledge of relational databases (RDMS), NoSQL, columnar, and graph data stores and structured and unstructured data formats



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