Computer Vision Software Engineer

Booz Allen Hamilton•Dayton, OH

About The Position

Computer Vision Software Engineer The Opportunity: As a software developer, you know that good software is more than a nice-looking interface and data. You need the right combination of clean code, APIs, analytics, and infrastructure to help build a user-oriented solution. We’re looking for a software developer like you to develop efficient and effective software, from vision to production-ready system, in an exciting, agile environment. As a software developer at Booz Allen, you’ll use the latest architectural approaches and open-source frameworks and resources to overcome your clients’ most difficult challenges. You’ll use your passion to master new tools and techniques while helping to identify and implement system improvements. You’ll collaborate with your team as you code and deliver solutions that support the current architecture and operating environment, as well as support future functionality and enhancements. Work with us to develop systems that create change for the better. Join us. The world can’t wait.

Requirements

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 To Haves

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