[Remote] Multi‑Target Tracking & Sensor Fusion Engineer (R4172)
Note: The job is a remote job and is open to candidates in USA. Shield AI is a venture-backed deep-tech company focused on protecting service members and civilians with intelligent systems. The Multi‑Target Tracking & Sensor Fusion Engineer will design, implement, and deploy tracking capabilities for autonomous systems, leveraging expertise in target state estimation and multi-sensor data fusion.
Responsibilities
- 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
Skills
- 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
- 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 extrinsic 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
Benefits
- Bonus
- Benefits
- Equity
- Temporary benefits package (applicable after 60 days of employment)
Company Overview
- Shield AI is a deep-tech company that focuses on developing AI-powered systems to enhance the safety of service members and civilians. It was founded in 2015, and is headquartered in San Diego, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.shield.ai.
Company H1B Sponsorship
- Shield AI has a track record of offering H1B sponsorships, with 3 in 2025, 3 in 2024, 1 in 2021. Please note that this does not guarantee sponsorship for this specific role.
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