Senior Computer Vision Engineer: Sensor Fusion & Tracking

Booz Allen Hamilton; Dayton (OH); On-site; USD 112,800 - 257,000; Full time

Job summary

Booz Allen Hamilton seeks a Senior Computer Vision Engineer to design and optimize advanced computer vision and multi-sensor fusion algorithms for GEOINT workflows. You will lead deep learning model development and real-time tracking in operational environments.

Collaborate across disciplines to implement solutions in Python or C++, leverage GPU programming with CUDA/RAPIDS, and contribute to scalable, secure tools that support mission outcomes. TS/SCI clearance is required.

Qualifications

• 6+ years in CV algorithm development for detection, tracking, or fusion.
• 2+ years applying deep learning to CV with transformer-based or self-supervised models.
• Experience in Python or C++ pipelines (training, eval, deployment).
• Experience CI/CD pipelines with Kubernetes, Docker, Jenkins.
• Knowledge of GPU-accelerated development (CUDA, RAPIDS).
• Familiarity with Kalman or extended filters for real-time apps.
• Ability to work in constrained multi-GPU or cloud environments.
• Active TS/SCI clearance; polygraph willingness.
• Bachelor’s degree in a STEM field.

Responsibilities

• Develop and optimize deep learning CV models with sensor fusion and tracking.
• Collaborate with cross‑functional teams to design, test, and deploy in Python or C++.
• Leverage GPU programming to optimize CV applications.
• Contribute to single/multi‑sensor detection, tracking and sensor fusion architectures.

Skills

CV algorithms

Deep learning for CV

Python or C++

CI/CD pipelines

Agile methodology

GPU acceleration

Kalman filtering

Edge/cloud deployment

Security clearance TS/SCI

CUDA/RAPIDS

Education

Bachelor's degree in STEM

Master’s degree preferred in CS/EE/AI

Doctorate degree a plus

Tools

Docker

Kubernetes

Jenkins

Job description

Booz Allen Hamilton seeks a Senior Computer Vision Engineer to design and optimize advanced computer vision and multi-sensor fusion algorithms for GEOINT workflows. You will lead deep learning model development and real-time tracking in operational environments.

Collaborate across disciplines to implement solutions in Python or C++, leverage GPU programming with CUDA/RAPIDS, and contribute to scalable, secure tools that support mission outcomes. TS/SCI clearance is required.