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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