Lead a technical team developing production perception, state estimation, and sensor fusion algorithms in C++ for autonomous aerospace and defense systems. Requires 10+ years experience, 2+ years managing teams, strong theoretical foundations, and DoD sensor integration background.
229k – 344k/yr
On-site10+ YOEEngineering Management
About the role
What you'll do
Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication.
Write production quality software in C++.
Produce an Assured Position, Navigation, and Timing (A-PNT) system to enable reliable autonomy in GNSS-degraded or denied environments.
Extend and specialize Shield AI’s state-of-the-art state estimation framework for new sensors, platforms, and missions.
Write test code to validate your software with simulated and real-world data.
Collaborate with hardware and test teams to validate algorithms/code on aerial platforms.
Write analyzers to ingest data and produce statistics to validate code quality.
Enhance sensor models within a high-fidelity simulation environment.
Work in a fast-paced, collaborative, continuous development environment, enhancing analysis and benchmarking capabilities.
Required qualifications
BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
Ability to develop, benchmark, debug, and deploy software-based algorithms.
Demonstrated problem solving skills by applying a scientific approach.
Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 8 years with a PhD; or equivalent work experience.
2+ years managing technical teams.
Demonstrated experience integrating and working with sensor payloads in the DoD space.
Proficient with sensor fusion for noisy high-bandwidth exteroceptive sensors on compute-constrained systems.
A solid foundation in theory related to state estimation, object detection, data association, probabilistic robotics, and signal processing.
Experience working projects with 10+ contributors.
Offers Fast, efficient, effective problem solving approaches.
Exceptional collaborator and communicator.
Comfortability within Unix environments.
Hard-working, trustworthy teammate.
Exhibits holding themselves and others to high standards.
Being kind to others.
Ability to obtain a SECRET clearance.
Preferred qualifications
MS or greater in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
Understanding of robotics technologies related to autonomous behavior development e.g. task allocation or planning.
Understanding/Experience with unmanned system technologies and accompanying algorithms (specifically air domain).
Familiarity with high-fidelity simulation and sensor modeling.
Working knowledge of Kalman Filter, Factor Graphs and other modern estimator fundamentals.
Strong working knowledge of Computer Vision with hands-on experience with OpenCV or similar CV libraries.
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