ashby
Alt-PNT Research Engineer
Swan
Remote, USA
Full-time
Mid · 5+ years experience
Remote
Discovered 1 weeks ago
PythonC++MATLABROSGNU RadioUSRP
Free
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Role Overview
We are seeking an Alternative Positioning, Navigation, and Timing (Alt-PNT) Research Engineer with deep expertise in GPS-denied navigation, signals of opportunity (SoOP), radio SLAM, and inertial navigation systems (INS). The ideal candidate will have a strong background in designing and developing resilient PNT solutions using diverse sensing modalities, including RF signals, vision-based navigation, and sensor fusion techniques. This role requires experience in signal processing, Bayesian filtering, multi-sensor fusion, and robust estimation methods to enable navigation in GPS-challenged or denied environments.
Key Skills for This Role
PythonC++MATLABROSGNU RadioUSRP
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About Us
Swan delivers the future of defense and industry through scalable autonomous products. Swan is backed by leading defense VCs including a16z's American Dynamism fund.
Role Overview
We are seeking an Alternative Positioning, Navigation, and Timing (Alt-PNT) Research Engineer with deep expertise in GPS-denied navigation, signals of opportunity (SoOP), radio SLAM, and inertial navigation systems (INS). The ideal candidate will have a strong background in designing and developing resilient PNT solutions using diverse sensing modalities, including RF signals, vision-based navigation, and sensor fusion techniques. This role requires experience in signal processing, Bayesian filtering, multi-sensor fusion, and robust estimation methods to enable navigation in GPS-challenged or denied environments.
Key Responsibilities
- Research, design, and develop alternative PNT solutions leveraging signals of opportunity (Wi-Fi, cellular, LEO satellites, GNSS backups, etc.), radio SLAM, and inertial navigation.
- Implement and optimize sensor fusion algorithms integrating IMU, LiDAR, radar, barometers, magnetometers, and RF-based positioning.
- Develop robust navigation algorithms based on Kalman filtering, factor graphs, and particle filtering for real-time applications.
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