Senior Computer Vision Engineer: Geospatial & Sensor Fusion

CFD Research Corporation; Dayton (OH); Sur place; USD 140 000 - 210 000; Plein temps

Avantages offerts par ce poste

401(k) matching

Employee Stock Ownership Plan (ESOP)

Medical, Vision, and Dental insurance

Paid leave and parental leave

Résumé du poste

CFD Research Corporation is seeking a Senior Computer Vision Engineer in Dayton, OH. This role focuses on designing, developing, and optimizing advanced CV and multi-sensor fusion algorithms for GEOINT workflows, including deep learning models and real‑time tracking pipelines.

Expertise in Python/C++, GPU acceleration, and hybrid sensing methods is required. The candidate will work with imaging physics, ML-based inference, and scalable deployment, delivering explainable and robust solutions in

Qualifications

• 6+ years developing CV algorithms for detection/tracking with multi-sensor fusion
• 2+ years applying DL to CV with transformer/self-supervised models
• ACTIVE TS/SCI security clearance required
• Experience Python or C++ pipelines for training/evaluation/deployment
• GPU-accelerated development using CUDA/RAPIDS or similar
• Knowledge of Kalman/extended filters for real-time algo development
• Familiarity with PINNs or physics-constrained losses
• Ability to run multi-GPU or cloud environments

Responsabilités

• Develop and implement deep learning CV models with sensor fusion and targeting
• Collaborate with multidisciplinary teams to design, develop, test, and deploy in Python or C++
• Utilize GPU programming to optimize CV applications
• Contribute to single/multi-sensor detection, tracking, and fusion of targets

Connaissances

Deep learning

Sensor fusion

Python

C++

GPU programming

Kalman/estimation

Physics-Informed Neural Networks

Edge/cloud deployment

Formation

Bachelor’s degree in STEM

Master’s or PhD in CS/EE/related

Outils

CUDA

RAPIDS

TensorRT

Docker

Kubernetes

Description du poste

CFD Research Corporation is seeking a Senior Computer Vision Engineer in Dayton, OH. This role focuses on designing, developing, and optimizing advanced CV and multi-sensor fusion algorithms for GEOINT workflows, including deep learning models and real‑time tracking pipelines.

Expertise in Python/C++, GPU acceleration, and hybrid sensing methods is required. The candidate will work with imaging physics, ML-based inference, and scalable deployment, delivering explainable and robust solutions in