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Senior Navigation Engineer – Orbit Determination and Ephemeris

Starbird AI·Израиль·en
В офисеПолная занятостьApplied PhysicsDefense and Space Manufacturing

A navigation technology company is hiring a Senior Navigation Engineer to lead orbital and ephemeris work within its navigation research and development team. The role focuses on alternative positioning, navigation, and timing systems for defense and civilian environments where GNSS may be degraded,

Обязанности

  • Own satellite state products, including position, velocity, and clock or frequency estimates with defensible uncertainties.
  • Develop and tune orbit-determination pipelines.
  • Model orbital dynamics and perturbations, including maneuvers and orbital events.
  • Maintain the correctness of reference frames and time systems.
  • Characterize and model satellite clocks, oscillators, and frequency stability.
  • Design and own data ingestion, validation, and versioning for multi-source navigation data.
  • Develop evaluation methods using simulation, recorded-data replay, live-sky testing, and field campaigns.
  • Apply machine learning and data-driven methods where they measurably improve physics-based baselines.
  • Set technical direction for the orbital domain and translate requirements into a prioritized research plan.
  • Build technical depth within the navigation team.

Требования

  • Master’s degree or Ph.D. in Aerospace Engineering, Electrical Engineering, Geodesy or Geomatics, Applied Mathematics, Physics, or a related field.
  • At least 4 years of hands-on experience in orbit determination, astrodynamics or flight dynamics, GNSS/PNT algorithms, or satellite navigation.
  • Strong knowledge of orbital mechanics, including perturbation models, propagators, integrators, reference frames, and time systems.
  • Experience with statistical estimation, including Kalman filtering, batch least squares, covariance analysis, and residual analysis.
  • Strong Python programming skills plus experience with C++ or MATLAB.
  • Experience working with real measurement data, including large, messy datasets, data cleaning, and validation.
  • Ability to convert mathematical concepts into robust, testable, production-grade algorithms.
  • Ability to structure open-ended technical problems into actionable work plans.

Будет плюсом

  • Experience with GNSS, LEO-PNT, or alternative-PNT systems.
  • Experience navigating GNSS-denied, degraded, or contested environments.
  • Experience with precise point positioning, carrier-phase, Doppler, multi-constellation, or multi-frequency processing.
  • Familiarity with Orekit, GMAT, STK, FreeFlyer, GIPSY, Bernese, or equivalent tools.
  • Experience with RINEX, SP3, or RTCM data formats.
  • Machine learning applied to estimation, signal processing, or physical modeling.
  • Data engineering for measurement datasets, including pipeline development, dataset versioning, and experiment tracking.
  • Defense, aerospace, space, or autonomous-platform industry experience.
  • Peer-reviewed publications in navigation or astrodynamics.
  • Experience mentoring engineers or leading a small technical workstream.

Соответствие

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