GEOINT Computer Vision Engineer — Real-Time Fusion

CFD Research Corporation; Dayton (OH); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k)

ESOP

Job summary

CFD Research seeks a Computer Vision Engineer to develop and optimize advanced CV and multi-sensor fusion algorithms for GEOINT workflows. You will contribute to deep learning models, real-time tracking, and GPU-accelerated pipelines deployed in operational environments.

The role requires 1–5+ years in CV, Python/C++, and an ACTIVE TS/SCI clearance. You will work on hybrid teams to design sensor fusion solutions, validate models, and ensure robust performance in constrained computing

Qualifications

• 1–5+ years of experience developing computer vision algorithms for detection, tracking, or multi-sensor fusion in GEOINT environments.
• 1+ years of experience applying deep learning to computer vision problems using transformer-based or self-supervised architectures.
• Candidate must possess an ACTIVE TS/SCI security clearance to be considered.
• Experience implementing model pipelines in Python or C++, including training, evaluation, and deployment workflows.
• Knowledge of GPU-accelerated development using CUDA, RAPIDS, or other GPU programming frameworks.
• Knowledge of classical tracking or estimation methods (such as Kalman or extended filters) to support real-time algorithm development.
• Knowledge of Physics-Informed Neural Networks (PINNs), Physics-constrained loss functions
• Ability to design, test, and optimize algorithms for operational performance in constrained computing environments (multi-GPU servers or cloud)
• Bachelor’s degree in related STEM field
• U.S. Citizenship is REQUIRED.

Responsibilities

• Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking.
• Collaborate with multidisciplinary teams to design,develop, test, and deploy technical solutions in Python or C++.
• Utilize GPU programming, including CUDA or RAPIDS, to optimize the performance of computer vision applications.
• Contribute to the architecture and implementation of novel single and multi-sensor detection and tracking and fusion of targets.

Skills

Deep learning

Python/C++

GPU programming

Sensor fusion

GEOINT/Remote sensing

Real-time tracking

Education

Bachelor's degree in STEM

Master's degree or Ph.D.

Tools

CUDA

RAPIDS

TensorRT

ONNX Runtime

Job description

CFD Research seeks a Computer Vision Engineer to develop and optimize advanced CV and multi-sensor fusion algorithms for GEOINT workflows. You will contribute to deep learning models, real-time tracking, and GPU-accelerated pipelines deployed in operational environments.

The role requires 1–5+ years in CV, Python/C++, and an ACTIVE TS/SCI clearance. You will work on hybrid teams to design sensor fusion solutions, validate models, and ensure robust performance in constrained computing