Teams at Expedition Technology, Inc.

Develop and optimize ML and computer vision models for hyperspectral and multi-modal sensor data, build detection/tracking and data fusion algorithms, translate research into deployable software, and support solutions across cloud and low SWaP environments for geospatial intelligence applications.

Design and implement DSP solutions for intelligence and defense applications, researching advanced DSP and machine learning algorithms for radar, electronic warfare, SIGINT, and RF geolocation. Develop models and transition them into real-time, field-ready software. Responsibilities include prototyping, full-system design, deployment across on-premises and cloud platforms, and operational integration.

Deploy and optimize computer vision, signal processing, and machine learning algorithms on GPU-enabled embedded systems. Improve real-time performance on constrained low-SWaP platforms, profile CPU/GPU bottlenecks, select algorithms based on hardware constraints, containerize deployments, and produce Linux-based production software. Collaborate with machine learning and software engineers to transition models into operational environments.