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Nwp Jobs in California (NOW HIRING)

Model Undraped

Lancaster, CA ยท On-site

$35/hr

Typing certifications must be current within one year and must include name, date and net words per minute (NWP). * For those disciplines with established Academic Senate's approved equivalency ...

Model Draped

Lancaster, CA ยท On-site

$35/hr

Typing certifications must be current within one year and must include name, date and net words per minute (NWP). * For those disciplines with established Academic Senate's approved equivalency ...

Nwp information

See California salary details

$46.4K

$69.7K

$100.2K

How much do nwp jobs pay per year?

As of Aug 6, 2026, the average yearly pay for nwp in California is $69,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $90,800.00 per year, depending on experience, location, and employer.

What is an NWP (Numerical Weather Prediction) specialist?

NWP specialists are professionals who use mathematical models and computer simulations to forecast weather patterns. They work with vast amounts of atmospheric data, applying physics and meteorology principles to predict conditions such as temperature, precipitation, and wind. Their expertise is essential for generating accurate weather forecasts used by meteorologists, governments, and industries. NWP specialists often work in research institutions, meteorological agencies, or private weather service companies.

What are the key skills and qualifications needed to thrive as a Nuclear Power Worker (NWP), and why are they important?

To thrive as a Nuclear Power Worker, you need a solid background in engineering, physics, or a related technical field, often supported by specialized training or certification in nuclear operations. Familiarity with nuclear reactor systems, radiation safety protocols, and regulatory compliance tools is typically required. Strong attention to detail, teamwork, and clear communication skills help ensure safety and efficient plant operations. These skills are vital for maintaining strict safety standards and reliable power generation in a high-stakes environment.

What is the difference between Nwp vs Meteorologist?

AspectNwp (Numerical Weather Prediction)Meteorologist
CredentialsTypically requires a degree in meteorology, atmospheric science, or related fields; certifications are optionalRequires a degree in meteorology, atmospheric science, or related fields; often includes certifications or licenses for broadcast meteorologists
Work EnvironmentUses computer models and simulations; primarily office-based, working with data and softwareCan be office-based, fieldwork, or broadcast; involves analyzing data and communicating weather forecasts
Industry UsageUsed by weather agencies, research institutions, and meteorological services for weather predictionEmployed by TV stations, radio, government agencies, and private weather companies for forecasting and communication

In summary, Nwp refers to the technical process of weather prediction using computer models, while meteorologists interpret these models and communicate weather forecasts. Both roles require similar educational backgrounds, but their daily tasks and work environments differ significantly.

What are some common challenges faced by NWP (Numerical Weather Prediction) specialists in their daily work?

NWP specialists often encounter challenges such as managing large datasets, optimizing computational resources, and ensuring the accuracy of weather models under varying conditions. Balancing the need for high-resolution forecasts with available processing power can be demanding, and staying current with the latest modeling techniques is essential. Collaboration with meteorologists, data scientists, and IT professionals is common to interpret results effectively and implement new model improvements.
Infographic showing various Nwp job openings in California as of July 2026, with employment types broken down into 66% Full Time, 31% Part Time, and 3% Temporary. Highlights an 93% Physical, 5% Hybrid, and 2% Remote job distribution, with an average salary of $69,725 per year, or $33.5 per hour.

Rainmaker Fellow, Atmospheric Science

Rainmaker Technology Corporation

El Segundo, CA โ€ข On-site

Full-time

Medical, Dental, Vision

Posted 13 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.
Rainmaker needs quantitative methods that translate atmospheric conditions into operational and program-design decisions. Fellows work on analyses intended to change what Rainmaker builds, where it operates, or how it evaluates results.
About the Fellowship
The Rainmaker Atmospheric Science Fellowship is a paid, full-time research appointment for exceptional undergraduate and graduate students, postdoctoral researchers, recent graduates, and other early-career researchers.
You will join Rainmaker's atmospheric-science team and work alongside our researchers on a scoped quantitative project drawn from Rainmaker's current scientific and operational priorities and defined in close collaboration with your research lead or mentor. Project matching will consider available data, mentor capacity, team needs, and your background. You will take responsibility for a concrete analytical workstream while contributing to the broader team's research, reviews, and operational decisions.
Fellows are not expected to arrive with an independent research agenda or define a project in isolation. You will be expected to turn an important atmospheric or operational question into a rigorous analysis and a result the team can continue using.
Examples of the Work
Fellowship projects change with Rainmaker's research and operational priorities. Examples of the work our quantitative atmospheric-science team may pursue include:
  • Estimating seedable hours and program opportunity for a proposed or existing operating region.
  • Quantitatively evaluating cloud-seeding operations, targeting decisions, or factors associated with precipitation yield.
  • Building ground-truth datasets and validation methods for forecasting, retrieval, or machine-learning systems.
  • Verifying forecasts or automating a meteorological analysis used by operations.
  • Comparing program designs, targeting strategies, or operational constraints across candidate regions.

What You'll Do
  • Work with your research lead to translate an atmospheric, operational, or program-design question into measurable quantitative criteria.
  • Build and document the quality-controlled dataset required for the assigned project.
  • Apply appropriate statistical, climatological, geospatial, verification, or decision-analysis methods.
  • Compare results across relevant reanalysis, NWP, satellite, radar, terrain, operational, or in-situ data sources.
  • Incorporate practical operational constraints when they are relevant to the question.
  • Quantify uncertainty, missingness, bias, and sensitivity to assumptions.
  • Create maps, summaries, and decision-oriented outputs for scientists, operators, and program designers.
  • Build a documented and reusable workflow that the team can extend to future questions.
  • Deliver a final artifact such as a dataset, analysis, evaluation framework, operational tool, technical report, or presentation.

What We're Looking For
  • Current undergraduate, master's, or PhD students; postdoctoral researchers; recent graduates; and other early-career researchers are all eligible.
  • Background in meteorology, atmospheric science, applied mathematics, statistics, physics, hydrology, geospatial science, or a related field.
  • Strong Python and quantitative-analysis ability.
  • Experience with meteorological, climate, geospatial, radar, satellite, or model data.
  • Ability to make ambiguous definitions explicit and test the sensitivity of results to assumptions.
  • Strong scientific judgment about uncertainty, representativeness, and the difference between an analytical proxy and operational ground truth.
  • Clear written and verbal communication.
  • Availability for full-time, on-site work in El Segundo for the agreed appointment.

Particularly Relevant Experience
  • GRIB, netCDF, xarray, reanalysis, NWP, radar, satellite, terrain, or operational datasets.
  • Climatology, forecast verification, spatial statistics, time-series analysis, uncertainty quantification, or decision analysis.
  • Cloud microphysics, precipitation, orographic meteorology, convection, weather modification, or field operations.
  • Reproducible scientific workflows and decision-oriented visualization.

What Success Looks Like
By the end of the fellowship, you will have answered a clearly defined scientific or operational question and delivered a result the atmospheric-science team can continue using. The work should include clear uncertainty and sensitivity analysis and should not present an analytical proxy as more certain than the underlying observations support.
Fellowship Details
  • Paid, full-time, and on-site in El Segundo.
  • Three-to-six-month appointment, with four months as the standard duration.
  • Rolling applications and project-specific start dates.
  • Attached directly to Rainmaker's atmospheric-science team with a named mentor.
  • Possible consideration for future full-time roles, without any promise or expectation of conversion.

Compensation and Benefits
$8,000 per month
Benefits:
  • Full health coverage (medical, dental, and vision insurance)
  • Lunch provided when working in-office and a fully stocked kitchenette
  • Free EV charging at the HQ

$8,000 - $8,000 a month