Synthetic Data and Missile Seeker Performance Engineer at Furientis

Furientis is hiring a hybrid ML data engineer and defense modeling and simulation engineer to own the synthetic-data pipeline and end-to-end seeker performance models for its missile seeker program. The role produces, validates, and manages training datasets; builds scene, atmospheric, optical, sensor, signal-chain, and signature models; establishes a real-time physics-correct engagement simulation pipeline; runs large-scale CPU and GPU compute; and optimizes CUDA kernels and pipeline throughput. It requires a relevant bachelor's degree, 4–7 years of experience, including synthetic/semi-synthetic data and classical EO/IR modeling, and is on-site at Furientis’s Los Angeles headquarters.