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As a senior member within the Hivemind autonomy team, you will join an ambitious effort to rapidly design, develop, integrate, test, and deploy an all-domain multi-target tracker for the Hivemind Pilot product line. You will bring a deep understanding of object tracking theory (e.g., optimal state estimation, sensor integration, data fusion, statistical inference, dynamics modeling) and modern C++ (11 or greater) to this role.
What you'll do:
Research and develop world-class object tracking and data association algorithms and techniques
Write production-quality tracking software in C++ that will be deployed on military platforms, ensuring robustness, efficiency, and scalability.
Develop and maintain comprehensive unit, integration, and system tests to validate your software
Enhance sensor models within a state-of-the-art simulation environment
Collaborate with other team members on product roadmap development, feature decomposition, and capacity planning within an agile development framework
Work in a fast-paced, collaborative, continuous development environment, enhancing analysis and performance benchmarking capabilities
Required Qualifications:
Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
Extreme proficiency in modern C++ and object-oriented design patterns
Professional experience deploying C++ software for DoD acquisition programs
Professional experience designing state estimation algorithms (KF, EKF, UKF)
Demonstrated track record developing innovative solutions to modern multi-target tracking problems
Experience with continuous integration (CI) pipelines and automated testing frameworks in C++
While familiarity with MATLAB for prototyping and algorithm development is useful, this role demands extensive experience and confidence in deploying production-level code exclusively in C++. Candidates whose primary experience is in MATLAB are unlikely to find this position a good fit.
Preferred Qualifications
Experience with the full lifecycle of developing, testing, and deploying airborne EO/IR tracking systems in military environments, including real-time performance optimization in resource-constrained settings
Experience developing error budgets for tracking accuracy
Experience developing and deploying multi-hypothesis tracking algorithms
Experience validating and verifying tracking requirements for DoD customers
Familiarity with sensor line-of-sight reconstruction and error calibration
Familiarity with object detection algorithms in visual, SWIR, MWIR, and LWIR bands