Computer Vision Software Engineer, Mid

The Opportunity

Join a mission‑focused engineering team building advanced computer vision (CV), multi‑sensor fusion, and detection and tracking capabilities for remote sensing and GEOINT environments. As a Mid‑Level Computer Vision Engineer, you will design, implement, and optimize CV algorithms and deep learning pipelines, contributing to operational systems used across national security-related missions. You will work closely with senior engineers while owning well‑defined components of the technical solution.

What You'll Work On

• Develop and implement computer vision algorithms for target detection, characterization, and tracking across single‑ and multi‑sensor data.
• Build and maintain model training, evaluation, and deployment pipelines in Python or C++.
• Apply deep learning approaches, including transformer‑based architectures such as DINO, CLIP, or SAM, to image understanding problems.
• Integrate classical estimation methods, such as Kalman‑family filters with modern deep learning workflows to support real‑time algorithm development.
• Contribute to GPU‑accelerated model development using CUDA, RAPIDS, or vendor‑provided inference runtimes.
• Collaborate with multidisciplinary engineering teams to test, refine, and operationalize computer vision models for constrained compute or real‑time environments.
• Support the implementation of microservice‑based inference pipelines or containerized model deployments under senior guidance.
• Contribute to the architecture and implementation of novel single and multi-sensor platform detection and tracking algorithms and track fusion of targets.

Join us. The world can’t wait.

You Have

• 3+ years of experience developing computer vision algorithms for detection, tracking, or sensor‑based analytics in remote sensing or GEOINT‑relevant environments
• 1+ years of experience applying deep learning to CV problems using transformer‑based, self‑supervised, or contrastive learning architectures, su...