Computer Vision Software Engineer, Mid

What you'll do

• Develop and implement computer vision algorithms for target detection, characterization, and tracking.
• Build and maintain model training, evaluation, and deployment pipelines in Python or C++.
• Apply deep learning architectures like DINO, CLIP, or SAM to image understanding problems.
• Integrate classical estimation methods, such as Kalman filters, with modern deep learning workflows.
• Contribute to GPU-accelerated model development using CUDA, RAPIDS, or vendor-provided inference runtimes.
• Support the implementation of microservice-based inference pipelines or containerized model deployments.
• Architect and implement novel single and multi-sensor platform detection and track fusion algorithms.

What we're looking for

• 3+ years of experience developing computer vision algorithms for detection, tracking, or sensor-based analytics in remote sensing or GEOINT environments.
• 1+ years of experience applying deep learning to CV problems using transformer-based, self-supervised, or contrastive learning architectures.
• Experience building pipelines in Python or C++ for algorithm development, training, evaluation, or deployment.
• Experience with GPU-accelerated workflows.
• Experience with classical tracking and estimation methods, such as Kalman or extended Kalman filters, for real-time development.
• Active TS/SCI clearance and willingness to take a polygraph exam.
• Bachelor's degree in a STEM field.
• Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, AI/ML, Physics, Mathematics or other related field (preferred).