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Meteorology Software Developer Jobs in California

Mantari

Embedded HW/SW Engineer

Torrance, CA · On-site

$137K - $180K/yr

Select and integrate off the shelf sensors (meteorological sensors, GPS/IMU), microcontrollers, and ... software teams to ensure sensor outputs meet platform needs. Documentation & quality * Maintain ...

Prosum

Network Engineer

Santa Monica, CA

We are looking for passionate software engineers (both Jr. and Sr.), SDE managers, UX designers ... meteorologist: you're always thinking ahead, forecasting potential problems and following ...

Slalom Consulting

General Information

Los Angeles, CA · On-site

$58 - $88/hr

Manage the utility's meteorology related computing programs , including partnering with IT to ... Develop and implement software upgrades to increase accuracy of weather forecast models. * Develop ...

Gnostech

Drafter/CAD Operator II

San Diego, CA · On-site

$26.92 - $29.33/hr

... NIWC Pacific) Meteorology and Oceanography (METOC) In Service Engineering (ISEA) Programs. The ... Proficient in CAD software (e.g., AutoCAD, SolidWorks, Revit, or similar platforms). * Working ...

Gnostech LLC

Drafter/CAD Operator II

San Diego, CA · On-site +1

$26.92 - $29.33/hr

... NIWC Pacific) Meteorology and Oceanography (METOC) In Service Engineering (ISEA) Programs. The ... Proficient in CAD software (e.g., AutoCAD, SolidWorks, Revit, or similar platforms). * Working ...

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Meteorology Software Developer information

What is the difference between Meteorology Software Developer vs Meteorologist?

AspectMeteorology Software DeveloperMeteorologist
Required CredentialsComputer science or software engineering degree, programming skillsMeteorology degree, atmospheric science background
Work EnvironmentSoftware companies, research labs, tech teamsWeather stations, research institutions, media outlets
Industry UsageDeveloping weather modeling software, data analysis toolsForecasting, weather prediction, climate research

While Meteorology Software Developers focus on creating software tools for weather analysis, Meteorologists interpret weather data to provide forecasts. Both roles require specialized knowledge but differ in their core skills and work settings.

What skills and qualifications are needed to thrive as a meteorology software developer?

To thrive as a Meteorology Software Developer, you need strong programming skills (such as Python, C++, or Java), a solid understanding of meteorological concepts, and typically a degree in computer science, meteorology, or a related field. Familiarity with data analysis tools, weather modeling software, GIS platforms, and version control systems like Git is often required. Analytical thinking, problem-solving, and effective teamwork are crucial soft skills in this role. These skills and qualities are essential for developing reliable, efficient software that supports accurate weather prediction and analysis.

How do meteorology software developers typically collaborate with scientists and end-users in their daily work?

Meteorology Software Developers often work closely with meteorologists, climate scientists, and data analysts to understand their research needs and translate them into practical software solutions. This collaboration usually involves regular meetings to clarify project requirements, gather feedback on prototypes, and ensure that the software tools support accurate data analysis and visualization. Developers may also provide training sessions or user support to help team members effectively utilize new applications, fostering a collaborative and iterative development environment.

What does a meteorology software developer do?

A Meteorology Software Developer designs, builds, and maintains software applications used for weather forecasting, climate modeling, and atmospheric data analysis. They work closely with meteorologists to create tools that process large datasets, simulate weather patterns, and visualize meteorological information. Their work supports accurate weather predictions and research, often requiring knowledge of programming languages, data science, and meteorological concepts. These developers may also maintain and enhance existing software systems to improve performance and usability.
What are popular job titles related to Meteorology Software Developer jobs in California? For Meteorology Software Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Meteorology Software Developer jobs in California look for? The top searched job categories for Meteorology Software Developer jobs in California are:
What cities in California are hiring for Meteorology Software Developer jobs? Cities in California with the most Meteorology Software Developer job openings:
Meteorology Software Developer jobs near you
Infographic showing various Meteorology Software Developer job openings in California as of August 2026, with employment types broken down into 80% Full Time, and 20% Nights. Highlights an 80% In-person, and 20% Hybrid job distribution.

Satellite Applications Specialist

Rainmaker Technology Corporation

El Segundo, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

About Rainmaker
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.
About the Role
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.
What You'll Do
  • 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.

What We're Looking For
  • 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.

Preferred Qualifications
  • 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.

What Success Looks Like
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.
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

$90,000 - $150,000 a year

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