Alt-PNT Research Engineer
Swan - Remote, United States
Posted Mar 5, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- 401(k) match
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Alt-PNT Research Engineer Remote, United States 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. - Work on radio-based navigation techniques, including time-difference-of-arrival (TDOA), frequency-difference-of-arrival (FDOA), and Doppler-based positioning. - Design and implement signal processing techniques for extracting positioning information from RF signals, including waveform analysis and multipath mitigation. - Conduct real-world testing and data collection campaigns to validate and refine PNT solutions. - Write clean, efficient, and well-documented code in Python and C++, with experience in simulation environments such as MATLAB, GNU Radio, or SDR-based platforms. - Collaborate with cross-functional teams,
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