Senior Computer Vision & Sensor Fusion Engineer - GEOINT

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

Benefits offered by this job

401(k) matching

Employee Stock Ownership Plan (ESOP)

Health, dental and vision insurance

Paid leave and disability benefits

Bonuses for performance

Job summary

CFD Research Corporation seeks a Senior Computer Vision Engineer to design and optimize advanced CV and multi-sensor fusion algorithms for GEOINT workflows. You will work on deep learning models, real-time tracking, and GPU-accelerated pipelines in operational environments with a focus on explainable, physically interpretable systems.

You will collaborate across disciplines, implementing pipelines in Python or C++, and applying CUDA or RAPIDS for performance.

Qualifications

• 6+ years of CV algorithm experience in remote sensing or GEOINT environments.
• 2+ years applying DL to CV problems with transformer or self-supervised models.
• ACTIVE TS/SCI clearance is required.
• Experience with Python or C++ pipelines for training, evaluation, and deployment.
• GPU-accelerated development using CUDA, RAPIDS, or similar.
• Knowledge of Kalman/extended filters for real-time tracking.
• Physics-Informed Neural Networks or physics-constrained losses helpful.

Responsibilities

• Develop and deploy deep learning CV models focusing on sensor fusion and tracking.
• Collaborate with teams to design, test, and deploy Python/C++ solutions.
• Utilize GPU programming to optimize CV applications.
• Contribute to single/multi-sensor detection and fusion architectures.

Skills

Deep learning

Computer vision

Sensor fusion

GEOINT

Python

C++

CUDA

GPU acceleration

Security clearance

Education

Bachelor's degree

Master or PhD

Tools

CUDA

RAPIDS

TensorRT

ONNX Runtime

Triton Inference Server

Docker

Kubernetes

Job description

CFD Research Corporation seeks a Senior Computer Vision Engineer to design and optimize advanced CV and multi-sensor fusion algorithms for GEOINT workflows. You will work on deep learning models, real-time tracking, and GPU-accelerated pipelines in operational environments with a focus on explainable, physically interpretable systems.

You will collaborate across disciplines, implementing pipelines in Python or C++, and applying CUDA or RAPIDS for performance.