Related skills
python signal processing geolocation orbital mechanics tdoaπ Description
- Own and improve TDOA/FDOA/AoA geolocation algorithms end-to-end.
- Analyze production code to identify bottlenecks and math gaps.
- Reason across sensing chain: geometry, estimation, and product performance.
- Improve calibration for timing, frequency, antenna, and geometry.
- Compare geolocation outputs to ground truth to find errors and regressions.
- Model error sources: ephemeris, clock drift, ionospheric effects, multipath, antenna calibration, receiver noise.
π― Requirements
- Advanced degree (MSc/PhD) in EE, physics, applied math, or aerospace.
- Strong math foundation in estimation/detection theory, linear algebra, and probability.
- Proven ability to go from problem to working code; Python proficiency required.
- Experience with imperfect real-world data; incomplete calibration and sparse truth.
- Iterative, data-driven development: form hypotheses, fix issues, measure results.
- Ability to read and improve an existing algorithmic codebase.
π Benefits
- Name Your Satellite Program (NYSP) program.
- Launch Attendance
- Generous Time Off Policy
- Education Assistance Program
- Employee Assistance Program (EAP)
- Employee Stock Purchase Program (ESPP)
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