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 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, such as DINO, CLIP,...