Booz Allen Hamilton is seeking a Computer Vision Software Engineer to develop efficient and effective software solutions in an agile environment. The role involves utilizing architectural approaches and frameworks to tackle client challenges and requires collaboration with a team to enhance system functionality.
Responsibilities:
- Develop efficient and effective software, from vision to production-ready system, in an exciting, agile environment
- Use the latest architectural approaches and open-source frameworks and resources to overcome clients’ most difficult challenges
- Master new tools and techniques while helping to identify and implement system improvements
- 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
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
- 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