Image Processing Engineer III

The Image Processing Engineer III will be responsible for transitioning algorithm prototypes from conceptual design to operational readiness.

This role requires an engineer who can design mathematical models to solve complex tracking and navigation problems under difficult lighting and environmental conditions.

Beyond core development, this engineer will define and execute validation protocols to evaluate alternative or competitor algorithms against mission requirements.

Additionally, the role bridges the gap between software and hardware by evaluating the feasibility of various sensor and optical systems to ensure they can deliver the input fidelity necessary for algorithmic success.

• Algorithm Development & Engineering: Advance and mature image processing and computer vision prototypes into production-ready software solutions.
• Multi-Feature & Target Tracking: Design and implement robust estimation logic to track and localize multiple visual features simultaneously within dynamic or challenging environments.
• Statistical Error & Uncertainty Analysis: Develop mathematical models to estimate data confidence, handle measurement uncertainties, and provide reliable covariance metrics for downstream navigation or data fusion filters.
• Data Filtering & Optimization: Implement robust outlier rejection, noise filtering, and subpixel refinement techniques to ensure high data precision and system stability.
• Trade Studies & Benchmarking: Establish rigorous validation frameworks, simulation scenarios, and benchmarks to objectively evaluate and compare the performance of alternative algorithms.
• Hardware-Software Integration: Analyze and simulate the impacts of sensor and optical hardware characteristics (e.g., resolution, lens distortions, lighting sensitivity) on algorithm performance to guide system-level design choices.
• Interface & API Design: Define, maintain, and implement clear software interfaces, data contracts, and schema-validated API structures for seamless integration into larger architectures.

• 5+ years of professional, hands-on experience in computer vision, image processing, and algorithm development.
• An advanced degree (e.g., a Ph.D. with substantial, relevant dissertation research) may count toward the minimum years of experience.