Teams at Steven-Greenhouse

Lead development of perception architecture for UAS seeker and world-modeling systems: design target detection/tracking/state estimation, fuse multi-sensor data (VIO/SLAM/target tracks), build ROS2/DDS interfaces, optimize C++ for embedded deterministic performance, support integration/HIL and mentor junior engineers while contributing reusable components to a shared AI/ML platform.

Build high-fidelity RGB and long-wave IR camera models and synthetic-data pipelines in Unreal Engine, stream sensor feeds to ROS 2, and generate labeled datasets and dynamic targets to validate perception, tracking, and Target State Estimation (TSE) software. Optimize rendering for real-time and headless simulation, manage 3D asset pipelines, and integrate perception sim into CI/CD for continuous evaluation.

Build and deploy LLM-powered applications, RAG systems, and agentic workflows; operate model serving and AI infrastructure on Kubernetes; integrate tools with identity and data-access controls; implement CI/CD, automation (Ansible/IaC), and observability; manage vector DBs, ingestion pipelines, and evaluation frameworks to deliver reliable, secure AI services for cross-company use.