Radar Meteorologist

Rainmaker Technology Corporation•El Segundo, CA
•Onsite

About The Position

Rainmaker is hiring a Radar Meteorologist for its Atmospheric Intelligence team in El Segundo. The team develops observations, models, and experiments that guide cloud seeding and measure its effects, working with software, hardware, and field operations teams to improve targeting decisions and estimate additional precipitation. The Radar Meteorologist will use weather radar observations to improve understanding of clouds, precipitation, and the effects of seeding operations. The role includes developing methods for radar quality control, precipitation estimation, and analysis of seeded and natural precipitation. Work ranges from storm case studies and repeatable analysis workflows to designing radar observations for field campaigns. The position collaborates with radar scientists, meteorologists, software engineers, and field teams to apply these methods across Rainmaker’s programs. Within the first 90 days, the successful candidate will learn Rainmaker’s radar systems, data workflows, and validation methods; produce a reproducible case study of a seeding event; implement and evaluate an agreed improvement to quality control, precipitation estimation, or event analysis; and propose further analysis and observing improvements with measurable success criteria.

Requirements

  • A degree in meteorology, atmospheric science, physics, engineering, or a related field, or equivalent practical experience.
  • Demonstrated experience using weather radar observations to answer meteorological questions in research or operations.
  • Strong understanding of radar measurement principles, Doppler and polarimetric variables, sampling geometry, and common sources of error.
  • Knowledge of cloud microphysics and precipitation processes, including interpreting observations in mixed-phase and winter weather.
  • Proficiency in Python for scientific data processing, analysis, and visualization.
  • Experience evaluating scientific methods against independent observations, diagnosing bias, and quantifying uncertainty.
  • Ability to take an open scientific question through data analysis to a defensible conclusion, with reproducible code and clear documentation.
  • Clear communication, constructive scientific collaboration, and willingness to work onsite in El Segundo and travel for field campaigns as needed.

Nice To Haves

  • An MS or PhD with research focused on radar meteorology, precipitation estimation, or cloud microphysics.
  • Experience with cloud seeding research, orographic precipitation, snowfall retrievals, or attribution of small signals within natural variability.
  • Hands-on experience deploying, calibrating, or operating research radars and designing scan strategies.
  • Experience with tools such as Py-ART or xradar and data from research radars, NEXRAD, or MRMS.
  • Experience integrating radar with disdrometers, precipitation gauges, aircraft or UAS measurements, or numerical weather prediction.

Responsibilities

  • Analyze scanning and vertically pointing radar observations to characterize cloud structure, precipitation processes, and potential seeding signatures.
  • Develop and improve radar quality control, addressing clutter, interference, attenuation, calibration bias, and terrain blockage.
  • Develop and evaluate quantitative precipitation estimates for rain and snow, accounting for sampling limitations and retrieval uncertainty.
  • Combine radar data with seeding release records, winds, soundings, satellite observations, and in situ measurements to assess individual operations.
  • Design analyses that distinguish potential seeding responses from natural variability, test alternative explanations, and assess what the observations support.
  • Help design radar siting and scan strategies that capture cloud volumes and precipitation relevant to operational targeting and validation.
  • Build reproducible Python workflows for processing, visualization, and analysis, and partner with software engineers to automate methods across programs.
  • Support field campaigns and radar troubleshooting with field teams, including travel to deployment sites as needed.
  • Communicate findings through clear figures, technical reports, and reviews that inform operational decisions and future experiments.

Benefits

  • Meaningful stock options.
  • Comprehensive medical, dental, and vision insurance for the employee and their family.
  • 401(k) with employer matching.
  • Unlimited PTO and a generous paid holiday schedule.
  • Paid parental leave for both parents.
  • Daily lunch provided at the El Segundo headquarters.
  • Relocation assistance for eligible roles.
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