Back to jobs
Logo of Rainmaker Technology Corporation
Rainmaker Technology Corporation
Actively hiring

Satellite Applications Specialist

Workplace
On-site
Commitment
Full-time
Salary
$90,000 - $150,000/yr
Posted
Location
El Segundo, United States

Rainmaker busca un especialista en teledetección satelital para ampliar el uso de observaciones satelitales en investigación y operaciones. Te unirás a un equipo de científicos satelitales y contribuirás al desarrollo y validación de algoritmos de recuperación, construcción de productos de datos automatizados, análisis de nubes operativo y fusión de datos satelitales con radar y datos de aeronaves. El rol combina ciencia aplicada con ejecución computacional sólida, apoyando programas de siembra de nubes.

Responsibilities

  • Develop, reproduce, improve, and validate satellite retrieval algorithms relevant to clouds, precipitation, atmospheric state, and cloud-seeding opportunities.
  • Work extensively with microwave sounders and other polar-orbiting observations while incorporating geostationary imagery for coverage, temporal context, and operational monitoring.
  • Build automated, documented workflows that transform raw or low-level observations into useful scientific and operational products.
  • Evaluate existing SLW, cloud-phase, cloud-top, moisture, temperature, precipitation, and related products against independent observations.
  • Collocate satellite data with radar, NWP, soundings, surface observations, and Rainmaker aircraft, UAS, or in-situ measurements.
  • Quantify retrieval bias, uncertainty, spatial representativeness, latency, coverage, and failure modes by meteorological regime.
  • Support real-time and retrospective cloud analysis for cloud-seeding operations.
  • Improve the reliability, speed, scalability, and usability of satellite-data processing across the science team.
  • Contribute to research directions selected with Rainmaker's existing satellite scientists.
  • Work with ML engineers when data-driven retrievals or multimodal models are justified by the data.
  • Work with software engineers to transition successful research workflows into reliable operational systems.
  • Communicate scientific results, limitations, and uncertainty clearly to researchers, operators, and engineers.

Requirements

  • A degree in atmospheric science, meteorology, remote sensing, physics, applied mathematics, electrical engineering, computer science, or a related field, or equivalent evidence of exceptional remote-sensing ability.
  • Strong scientific understanding of satellite observations, radiative transfer, retrievals, calibration, validation, or measurement uncertainty.
  • Strong Python and quantitative-analysis skills.
  • Experience working computationally with satellite data, preferably including microwave or polar-orbiting observations.
  • Ability to implement, evaluate, and document scientific methods personally rather than immediately handing them off to a software team.
  • Experience with multidimensional scientific data and tools such as NumPy, SciPy, pandas, xarray, Dask, or equivalent systems.
  • Ability to build reproducible data-processing and validation workflows.
  • Comfort receiving research guidance while independently owning a clearly defined project.
  • High agency, learning velocity, and willingness to engage with operational users of the resulting products.

Nice to have

  • Graduate research or industry experience in satellite meteorology, microwave remote sensing, cloud or precipitation retrievals, atmospheric sounding, or Earth observation.
  • Experience working with both polar-orbiting and geostationary observations.
  • Familiarity with radiative-transfer models, retrieval inversion, Bayesian estimation, uncertainty quantification, or statistical and ML retrieval methods.
  • Experience collocating satellite data with radar, aircraft, in-situ sensors, soundings, or NWP.
  • Familiarity with cloud microphysics, mixed-phase clouds, supercooled liquid water, precipitation processes, or weather modification.
  • Experience with cloud-scale or large-volume geospatial processing in local, HPC, or cloud environments.
  • Experience creating data products used in operational forecasting or decision-making.

Benefits

  • Significant stock options with high potential upside as an early-stage company
  • 401(k) with employer matching
  • Full health coverage (medical, dental, and vision insurance)
  • Relocation assistance provided (if applicable)
  • Unlimited PTO
  • Paid parental leave for both parents
  • Lunch provided when working in-office and a fully stocked kitchenette
  • Free EV charging at the HQ