Multi‑Target Tracking & Sensor Fusion Engineer (R4172)

What you'll do:

• Research, design, and implement state‑of‑the‑art multi‑target tracking and data association algorithms.
• Develop production‑quality C++ software for deployed military aviation platforms, ensuring deterministic, real‑time performance.
• Build and maintain comprehensive unit, integration, and system‑level tests validating algorithm correctness and robustness.
• Enhance and calibrate sensor models within advanced simulation and HWIL environments.
• Collaborate on feature planning, decomposition, and milestone execution within an agile development framework.
• Contribute to flight‑test planning, performance analysis, benchmarking, and regression evaluation.
• (Principal-level applicants) Provide technical leadership, design reviews, algorithmic mentorship, and subject‑matter expertise across the autonomy organization.

Required qualifications:

• Strong to expert proficiency in modern C++ (C++11 or newer) and object‑oriented design principles.
• Professional experience deploying C++ software into embedded or real‑time systems, ideally for DoD or aerospace applications.
• Hands‑on experience designing and implementing state estimation algorithms (e.g., KF, EKF, UKF, ESKF) for real‑world systems.
• Demonstrated ability to develop, optimize, and maintain complex tracking or sensor fusion algorithms.
• Experience with CI pipelines, automated testing frameworks, and high‑reliability software practices.
• Familiarity with MATLAB or Python for prototyping is acceptable; however, primary development experience must be in C++. Candidates with MATLAB‑dominant backgrounds are unlikely to be a fit.

Preferred qualifications:

• Experience designing, developing, and deploying multi-target tracking systems for defense applications across one or more domains: air, maritime, ground, or space.
• Familiarity with tracking architectures for radar, EO/IR, acoustic, RF, AIS, ADS-B, or ELINT sensors.
• Experience building and tuning error budgets, developing performance models, and conducting sensitivity analyses for estimation/tracking accuracy.
• Hands-on experience implementing and optimizing multi-hypothesis tracking (MHT), joint probabilistic data association (JPDA), or random finite set (RFS)-based filters.
• Exposure to distributed or hierarchical fusion, including track-to-track fusion or multi-platform coordination.
• Experience supporting requirements derivation, verification, and validation of tracking systems in DoD or IC programs, especially in operationally representative environments.
• Understanding of target dynamics modeling, including kinematic and non-kinematic state representations (e.g., turn rate models, coordinated motion, behavioral cues).
• Familiarity with sensor registration, line-of-sight geometry reconstruction, time synchronization, and calibration of extrinsics and timing offsets.
• (For Principal-level candidates) Demonstrated technical leadership building multi-year road maps and leading high-performing teams through design and deployment of modern trackers.