Senior CV Engineer - Real-Time Multi-Sensor Fusion (ESOP)

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

Benefits offered by this job

401(k) match

Employee Stock Ownership Plan (ESOP)

Health insurance

Paid leave and disability coverage

Job summary

CFD Research Corporation seeks a Senior Computer Vision Engineer to design, develop, and optimize advanced computer vision and multi-sensor fusion algorithms supporting GEOINT workflows. You will work on deep learning models, real-time tracking, and GPU-accelerated pipelines deployed in operational environments.

The role requires experience with Python/C++, CUDA, and ROS-style collaboration, plus a TS/SCI clearance. Dayton, OH onsite with competitive benefits and ESOP participation.

Qualifications

• 6+ years of experience developing computer vision algorithms for detection, tracking, or multi-sensor fusion in remote sensing or GEOINT-relevant environments.
• 2+ 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 (i.e., multi-GPU servers or cloud).

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++

CUDA

GEOINT

Real-time systems

Security clearance

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD in related field

Tools

CUDA

RAPIDS

TensorRT

ONNX Runtime

Job description

CFD Research Corporation seeks a Senior Computer Vision Engineer to design, develop, and optimize advanced computer vision and multi-sensor fusion algorithms supporting GEOINT workflows. You will work on deep learning models, real-time tracking, and GPU-accelerated pipelines deployed in operational environments.

The role requires experience with Python/C++, CUDA, and ROS-style collaboration, plus a TS/SCI clearance. Dayton, OH onsite with competitive benefits and ESOP participation.