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Meteorology Software Developer Jobs in Oklahoma (NOW HIRING)

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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 job categories do people searching Meteorology Software Developer jobs in Oklahoma look for? The top searched job categories for Meteorology Software Developer jobs in Oklahoma are:
What cities in Oklahoma are hiring for Meteorology Software Developer jobs? Cities in Oklahoma with the most Meteorology Software Developer job openings:
Meteorology Software Developer jobs near you

AI Flight Optimization Engineering Intern

Skydweller

Oklahoma City, OK

$15.50 - $20/hr

Part-time, Internship

Posted 20 days ago

Job description

About Skydweller

Skydweller is developing the world's largest autonomous solar-powered aircraft, designed to provide persistent, long-duration flight capabilities for defense, and commercial missions. Our aircraft combines advanced aerospace engineering, autonomy, renewable energy technologies, and artificial intelligence to enable next-generation aviation capabilities.

Skydweller's engineering and flight-test programs generate significant volumes of aircraft telemetry, environmental data, and mission information. We are applying emerging AI technologies to transform this data into actionable insights that improve aircraft performance, operational efficiency, and mission planning.


About the Role

Skydweller is seeking an intern to support the development of an Agentic AI system dedicated to flight operations and optimization for long-endurance unmanned aircraft systems (UAS).

The intern will work alongside experienced aerospace, software, and AI engineers to design and prototype an Agentic AI system capable of analyzing flight-test telemetry, weather data, and mission constraints to generate recommendations that improve endurance, energy efficiency, and aircraft performance.

The intern will participate in a structured, mentored R&D experience progressing from AI fundamentals through implementation and validation of a functional prototype supporting Skydweller's flight optimization efforts.


Why Join Skydweller?

This internship provides a unique opportunity to work on advanced aerospace technology while helping define the future of AI-assisted engineering.

Unlike traditional AI projects focused on generic applications, this role applies emerging AI technologies to a real-world autonomous aircraft program. The intern will contribute directly to the development of tools that improve aircraft endurance, mission effectiveness, and engineering decision-making.

Successful candidates will gain experience at the intersection of artificial intelligence, aerospace engineering, and autonomous systems, while working with an experienced team developing next-generation aviation capabilities.



Student Requirements

  • Interns must be currently enrolled undergraduate or graduate students at an Oklahoma college/university, or CareerTech students concurrently enrolled in college-level coursework
  • Due to the nature of the work, the intern needs to be a U.S. Person (US Citizen/Green Card holder)

Qualifications

  • Graduate or upper-level undergraduate student in Computer Science, Aerospace Engineering, or related field
  • Proven experience with Python programming
  • Prior participation in R&D projects, especially in the fields of AI-agent, Aerospace, or Meteorology, is a plus
  • Familiarity with AI/ML concepts (LLMs, Deep Learning, etc.), or data processing preferred

Responsibilities

The AI Flight Optimization Engineering Intern will serve in a junior, mentored software development role within Skydweller's Research & Development environment. Responsibilities include:

  • Develop Python-based tools and AI workflows using modern software development practices and Git version control
  • Assist with data preparation, system testing, and validation activities
  • Document code, workflows, system architecture, and write activity reports
  • Participate in agile development cycles, design reviews, and technical discussions

Learning Experience

During the internship, the candidate will gain practical experience in:

  • Artificial intelligence and machine learning applications for aerospace systems
  • Agentic AI architectures and AI-enabled engineering workflows
  • Processing and analysis of aerospace telemetry datasets
  • Software development in a production-oriented aerospace environment
  • Autonomous aircraft operations and flight optimization concepts



Work Environment
This is a part-time 1-year internship onsite at the Skydweller Oklahoma City (OKC) Office. The role integrates the intern directly into active aerospace R&D workflows, providing exposure to advanced autonomous systems development and collaboration with AI and engineering teams.

Apply