Satellite Applications Specialist

Rainmaker is pioneering a modern cloud-seeding system to increase precipitation, improve water availability, and address severe-weather challenges. We combine atmospheric science, weather-resistant UAS, radar and satellite observations, numerical weather prediction, novel sensing systems, and sustainable seeding technologies to design, operate, and evaluate precipitation-enhancement programs.

Research at Rainmaker is attached directly to operations. Our scientists and engineers collect proprietary observations, deliberately intervene in atmospheric systems, evaluate the results, and use what they learn to improve the next operation.

Rainmaker is hiring a Satellite Remote Sensing Researcher to expand how we use satellite observations across research and operations. You will join experienced satellite scientists and add both scientific capacity and stronger computational execution to the team.

Your work may include developing and validating retrievals, building automated data products, supporting operational cloud analysis, fusing satellite observations with radar and aircraft data, and pursuing applied research under the guidance of Rainmaker's existing researchers. Our highest-priority observations include microwave sounders and other polar-orbiting instruments, while geostationary imagery provides the coverage and temporal continuity needed for operations.

We are open to an earlier-career scientist with excellent fundamentals, high agency, and evidence of strong computational work. You should be excited to learn from experienced researchers while independently owning bounded projects and turning scientific methods into durable workflows.

Within your first three months, you will have taken ownership of one bounded retrieval or satellite-data workflow selected with the existing team. You will have reproduced and validated the current baseline, then delivered a meaningful improvement in retrieval quality, automation, coverage, latency, scalability, or operational usability.

The result will be a documented and repeatable workflow that Rainmaker's broader science or operations team can use. Success does not require inventing a novel retrieval in one quarter; it requires producing trustworthy computational leverage and demonstrating clear scientific judgment.

Within your first year, you will have expanded the team's capacity across microwave, polar-orbiting, and geostationary observations while making multiple satellite workflows more validated, automated, and operationally useful.