Booz Allen Hamilton is seeking a mid-level Computer Vision Software Engineer to help design, implement, and optimize advanced CV algorithms for remote sensing and GEOINT. This onsite role in Dayton centers on building robust computer vision solutions, including multi-sensor fusion and detection/tracking components, from development through deployment.
Responsibilities
- Develop and implement computer vision algorithms for target detection, characterization, and tracking across single- and multi-sensor data
- Build and maintain model training, evaluation, and deployment pipelines in Python or C++
- Apply deep learning approaches, including transformer-based architectures such as DINO, CLIP, or SAM, to image understanding problems
- Integrate classical estimation methods, such as Kalman-family filters, with modern deep learning workflows to support real-time algorithm development
- Contribute to GPU-accelerated model development using CUDA, RAPIDS, or vendor-provided inference runtimes
- Collaborate with multidisciplinary engineering teams to test, refine, and operationalize computer vision models for constrained compute or real-time environments
- Support the implementation of microservice-based inference pipelines or containerized model deployments under senior guidance
- Contribute to the architecture and implementation of novel single and multi-sensor platform detection and tracking algorithms and track fusion of targets
Requirements
- 3+ years of experience developing computer vision algorithms for detection, tracking, or sensor-based analytics in remote sensing or GEOINT-relevant environments
- 1+ years of experience applying deep learning to CV problems using transformer-based, self-supervised, or contrastive learning architectures (for example DINO, CLIP, or SAM)
- Experience building pipelines in Python or C++ for algorithm development, training, evaluation, or deployment
- Experience with GPU-accelerated workflows
- Experience with classical tracking and estimation methods, such as Kalman or extended Kalman filters, supporting real-time development needs
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor's degree in a STEM field
Technologies
- Python
- C++
- DINO
- CLIP
- SAM
- CUDA
- RAPIDS
- Kalman filters
- Kubernetes
Benefits
- Health benefits
- Life insurance
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
NICE IF YOU HAVE
- Experience in GPU programming, including CUDA or RAPIDS
- Experience with developing synthetic modeling of kinematic target features
- Experience with AI-augmented development workflows or agentic tools such as Codex, Claude Code, or OpenCode or other multi-agent approaches
- Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment
- Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, AI/ML, Physics, Mathematics or related field
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
The projected compensation range for this position is $69,300 to $158,000 per year (USD). Salary is determined by location, education, experience, and other factors.
Identity Verification
As part of the hiring process, Booz Allen may require identity verification using biometrics and artificial intelligence to ensure authenticity and prevent fraud. Interviews may require you to be on camera, and Booz Allen may capture images for verification purposes.
Candidate AI Usage Policy
AI is part of Booz Allen's daily work, and the company supports responsible AI use. The use of artificial intelligence or other tools to assist with interview responses is prohibited unless explicit permission is granted.
Work Model
Onsite: work will primarily be performed at a Booz Allen office or customer facility, with collaboration with colleagues and customers as required by the role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.
