Lead Computer Vision Software Engineer

What you'll do

• Develop and implement deep learning computer vision models focused on sensor fusion and target tracking.
• Design and implement multi-sensor detection and tracking architectures for GEOINT mission workflows.
• Optimize the performance of computer vision applications using GPU programming, including CUDA or RAPIDS.
• Build and deploy model pipelines in Python or C++ for training, evaluation, and production.
• Develop real-time tracking systems and algorithms for use in constrained computing environments.
• Manage and automate deployment workflows using CI/CD pipelines with tools like Docker and Kubernetes.
• Integrate computer vision models into edge, embedded, or latency-constrained operational environments.

What we're looking for

• Bachelor’s degree in a STEM field.
• Active TS/SCI clearance and willingness to take a polygraph exam.
• 6+ years of experience developing computer vision algorithms for detection, tracking, or multi-sensor fusion in remote sensing or GEOINT environments.
• 2+ years of experience applying deep learning to computer vision problems using transformer-based or self-supervised architectures.
• 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 for real-time algorithm development.
• Experience with CI/CD pipelines using Kubernetes, Docker, or Jenkins and familiarity with Agile methodology.