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Weather Software Engineer Jobs (NOW HIRING)

Noblis

Software Engineer

Philadelphia, PA · On-site

$105K - $164K/yr

Software Engineer, Entry Level * Software Engineer, Mid Level * Software Engineer, Senior Level ... weather elements. The position requires the stamina to work extended shifts and the balance and ...

Mantari

Software Engineer Intern

Long Beach, CA

The Mantari Software Engineering Internship provides an opportunity to work on the software systems that power next-generation sensor platforms and AI-driven weather intelligence, contributing ...

Mantari

Software Engineer Intern

Long Beach, CA · On-site

At Mantari Industries, we're replacing yesterday's public sector weather systems with a full stack ... The Mantari Software Engineering Internship provides an opportunity to work on the software systems ...

Mantari

Software Engineer Intern

Long Beach, CA · On-site

At Mantari Industries, we're replacing yesterday's public sector weather systems with a full stack ... The Mantari Software Engineering Internship provides an opportunity to work on the software systems ...

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Weather Software Engineer information

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$63.5K

$147.5K

$205.5K

How much do weather software engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for weather software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Weather Software Engineer, and why are they important?

To thrive as a Weather Software Engineer, you need strong programming skills (such as Python, C++, or Java), a solid understanding of meteorological concepts, and typically a degree in computer science, atmospheric science, or a related field. Experience with data processing tools, APIs, numerical weather prediction models, and cloud computing platforms is highly valued. Problem-solving, attention to detail, and effective communication are crucial soft skills for collaborating with scientists and translating complex data into actionable software. These skills ensure the development of accurate, reliable tools that support weather forecasting and decision-making across industries.

How do Weather Software Engineers typically collaborate with meteorologists and data scientists?

Weather Software Engineers often work closely with meteorologists and data scientists to develop and refine tools for weather prediction, data analysis, and visualization. This collaboration involves gathering requirements, translating scientific models into reliable code, and iteratively improving applications based on feedback. Regular meetings and agile workflows are common, ensuring that software solutions align with both scientific goals and operational needs. Effective communication and a willingness to learn from interdisciplinary colleagues are key to success in this collaborative environment.

What does a Weather Software Engineer do?

A Weather Software Engineer designs, develops, and maintains software systems that process, analyze, and visualize meteorological data. They work with large datasets from weather sensors, satellites, and models to create reliable forecasting and monitoring tools. Their work supports meteorologists, researchers, and organizations that rely on accurate weather information for decision-making. Weather Software Engineers often use programming languages like Python, C++, or Java and may integrate machine learning or cloud computing technologies. They play a crucial role in improving weather prediction and public safety.

What is the difference between Weather Software Engineer vs Meteorologist?

AspectWeather Software EngineerMeteorologist
Required CredentialsBachelor's in Computer Science, Software Engineering, or related field; programming skillsBachelor's or higher in Meteorology, Atmospheric Science, or related field; weather modeling knowledge
Work EnvironmentTech companies, weather data firms, software development teamsResearch institutions, TV stations, government agencies, fieldwork
Industry UsageDevelops weather prediction software, data visualization toolsAnalyzes weather patterns, forecasts, and climate data

Weather Software Engineers focus on creating and maintaining software related to weather data, requiring programming skills and technical expertise. Meteorologists analyze weather patterns and provide forecasts, often working in research or media. Both roles are essential in the weather industry but differ in their core responsibilities and skill sets.

Infographic showing various Weather Software Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Staff Software Engineer, Weather Operations

Staff Software Engineer, Weather Operations

Waymo

San Francisco, CA

Other

Posted 16 days ago

Job description

You will:

  • Lead the design, architecture, and development of Waymo's next-generation offboard weather systems and infrastructure.
  • Provide technical leadership for initiatives to enhance weather data ingestion, processing, and storage.
  • Drive the development of a variety of real-time and forecasting weather applications.
  • Collaborate across multiple engineering and cross functional teams to deliver robust, scalable, and dependable solutions.
  • Maintain high performance and stability for systems vital to safe fleet operations in diverse weather environments.
  • Guide the architectural design of next-generation infrastructure specifically for weather-related products.

You Have:

  • Demonstrated success in technical leadership and the architecture of intricate distributed platforms.
  • Deep expertise in data stores, pipelines, processing data in low-latency, real-time environments and overall system design.
  • Understanding of stream processing and in-memory data storage solutions.
  • Proven track record of managing multi-year technical strategies and delivering high-impact outcomes.
  • Superb communication abilities and experience with cross-functional partnership.
  • A Bachelor's degree (or higher) in a relevant field like Computer Science.

We prefer:

  • Skill in managing geospatial information, such as raster processing, KMLs, and mapping tools.
  • Background in machine learning, specifically involving Vision Language Models (VLMs).
  • Prior experience with environmental sensing or weather-related data.

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