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NASA Jet Propulsion Laboratory

Federally funded robot space missions developer

Navigation Engineer 2

Flight Dynamics & GNCConfirmed live in the last 24 hours
Full-timePasadena, CA, USA$118.2k - $144.1k /yrIn-person

About the Job

Requirements

  • A bachelor’s degree in aerospace engineering, astronomy, or a related technical discipline with typically at least 3 years of related experience; a master’s degree in similar disciplines with at least 1 year of related experience; or a PhD in a similar discipline.
  • Demonstrated hands-on experience recovering satellite gravity fields or closely related spacecraft-based gravity estimation, including estimating gravity-field parameters from tracking observations.
  • Strong knowledge of orbital dynamics, statistical estimation, numerical methods, and the mathematical foundations of gravity-field modeling.
  • Experience with precise orbit determination and estimating dynamical or instrument parameters from spacecraft measurements.
  • Understanding of measurement weighting, parameter observability, correlations, covariance analysis, and systematic errors.
  • Proficiency in scientific programming with one or more of Fortran, Python, C++, or MATLAB.
  • Experience developing, testing, debugging, and documenting scientific analysis software.
  • Ability to evaluate technical results critically, communicate findings clearly to technical audiences, work independently on assigned tasks, and collaborate effectively within a multidisciplinary team.

Responsibilities

  • Perform precise orbit determination, gravity-field recovery, and simulation studies in support of GRACE-FO and GRACE-C.
  • Develop, implement, test, and maintain scientific software for processing spacecraft observations and estimating orbital, gravity-field, and instrument parameters.
  • Process and analyze mission data, including intersatellite microwave and laser ranging, GPS/GNSS observations, accelerometer measurements, and spacecraft attitude data, as applicable to each mission.
  • Estimate spacecraft orbital states, gravity-field coefficients, accelerometer calibration parameters, and other relevant model parameters, together with their uncertainties.
  • Apply and evaluate dynamical and observation models, including models of gravitational and nongravitational accelerations, tides, and atmospheric and oceanic mass variability.
  • Assess data quality, select appropriate observation weights, identify anomalous measurements, and investigate systematic errors in orbit and gravity-field solutions.
  • Conduct covariance, sensitivity, and error-budget analyses to evaluate the effects of measurement errors, instrument performance, and modeling assumptions on gravity-field recovery.
  • Validate recovered gravity fields and orbit solutions through residual analysis, comparisons with independent solutions or observations, and other appropriate diagnostic methods.
  • Present analysis results, simulation findings, and uncertainty assessments to project scientists, technical leads, and collaborators.
  • Collaborate with colleagues to document methods and publish research results in peer-reviewed journals.
  • Contribute to trade studies involving measurement accuracy, data types, processing strategies, and gravity-recovery performance.
  • Develop and assess improved physical models, estimation methods, and computational tools.
  • Support the development and testing of processing capabilities for GRACE-C.
  • Prepare technical documentation, status reports, and presentations for project reviews.
  • Coordinate with engineers, scientists, and external collaborators on assigned technical activities.
  • Take responsibility for defined analysis or software-development tasks, including planning, execution, verification, and reporting.

Desired Qualifications

  • Experience recovering Earth’s time-variable gravity field from GRACE or GRACE-FO.
  • Familiarity with GRACE, GRACE-FO, or GRACE-C measurement architectures and instrument characteristics.
  • Experience processing or modeling intersatellite ranging, GPS/GNSS, accelerometer, and attitude observations.
  • Experience estimating spherical harmonic gravity-field coefficients and mascon models and evaluating the resulting solutions.
  • Familiarity with tidal models, atmospheric and oceanic de-aliasing products, reference frames, Earth orientation parameters, and nongravitational force modeling.
  • Experience with accelerometer calibration, ranging-system errors, colored measurement noise, or regularization methods.
  • Experience with large-scale estimation problems, efficient numerical linear algebra, or high-performance computing.
  • A publication record demonstrating contributions to spacecraft-based gravity-field recovery, precise orbit determination, or closely related research.
  • Experience with Fortran-based scientific software and Python-based analysis workflows.
  • Familiarity with MONTE, particularly for maintaining existing processing tools.
  • Ability to lead defined technical tasks and collaborate across organizational or institutional boundaries.

About the Company

NASA Jet Propulsion Laboratory

Federally funded robot space missions developer

NASA Jet Propulsion Laboratory (JPL) is a federal research center managed by Caltech for NASA. It designs, builds, and operates robotic space missions for planetary exploration, Earth science, and space-based astronomy, along with technology development. JPL translates scientific ideas into real missions using specialized engineering, software, and mission operations conducted by cross-disciplinary teams, often in collaboration with NASA centers and other partners. Unlike many contractors, JPL functions as a government-run R&D center that directly plans and executes missions from concept through flight operations, ensuring national-space capabilities and scientific discovery stay aligned with NASA's goals. The lab’s aim is to turn bold science questions into working space missions and technologies that advance our understanding of the solar system and Earth, while upholding values of being bold, inclusive, and trusted.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Pasadena, CA
Founded
1936

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