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2025 Intern - Meteorology Software Engineering Graduate Intern - Onsite (NE)

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Date Posted:

2025-03-28

Country:

United States of America

Location:

NE131: 2120 South 72nd Street Suite 900 , Omaha, NE, 68124-2318 USA

Position Role Type:

Onsite

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

Job Summary:

Raytheon is seeking a Meteorological Software Engineering Intern to work in a fast-paced Agile development environment for modernizing science-driven applications to operate on cloud and HPC platforms.  Our team provides acceleration of community-developed scientific and technological enhancements into the operational applications for Numerical Weather Prediction (NWP) and improved Research to Operations (R2O).

The ideal candidate will be a highly enthusiastic team member excited about learning new technologies and continually evolving an operational system. In this position the intern will have the opportunity to have hands-on development of new system capabilities supporting climate research.

What You Will Do:

Work with a team to develop the global Artificial Intelligence (AI) based numerical weather prediction models.

Help develop a workflow that will deploy the global AI model.

Work with AI data sets such as GFS, GEFS, GDAS, UFS-Replay, and CONUS404

Support the configuration management of a public-facing and open-source GitHub repository and documentation for global AI models.

Contribute to the completion of program and project milestones under the specific guidance of his/her immediate supervisor

Qualifications You Must Have:

Must be enrolled in a Masters or Doctorate program by the start of summer 2025 in Science, Technology, Engineering or Mathematics (STEM) with preferred major in Meteorology.
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Qualifications We Prefer:

Knowledge of global Artificial Intelligence (AI) based numerical weather prediction models.
Experience with AI data loading frameworks such as Anemoi.
Understanding of end-to-end model testing frameworks for AI applications such as weatherbench2 or MetPlus.
Experience in building and running AI numerical weather models on both on-premise and cloud computing technologies.

Experience using programming languages such as Python in an Agile environment.

Knowledge of Agile or Lean-based development principles (e.g. Sprints, Scrums, Backlogs)

Strong communication skills and the ability to work with NOAA’s AI for numerical weather team that allows for deployment of deterministic and ensemble-based configurations of the global AI models.

Location

The position is for the Omaha, NE office
Relocation assistance is not available

What We Offer:

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

If applicable/optional - Relocation Eligibility

Learn More & Apply Now!

Please upload a copy of your most recent transcripts with your resume when applying to this requisition. Include your cumulative GPA and projected graduation date on your resume

Please consider the following role type definition as you apply for this role.

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

The salary range for this role is 37,000 USD - 82,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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RTX Glassdoor Company Review

3.7

RTX DE&I Review

No rating

CEO of RTX

Gregory J. Hayes

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Average salary estimate

$59500 / YEARLY (est.)

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$37000K

$82000K

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What You Should Know About 2025 Intern - Meteorology Software Engineering Graduate Intern - Onsite (NE), RTX

Are you ready to launch your career in meteorology with an exciting internship opportunity? At Raytheon, we're looking for a passionate 2025 Intern - Meteorology Software Engineering Graduate Intern to join our team in Omaha, Nebraska! As part of our dynamic Agile development environment, you'll have the chance to work on cutting-edge applications that harness the power of artificial intelligence for numerical weather prediction. Your mission, should you choose to accept it, involves collaborating with a talented group of individuals to modernize and accelerate scientific and technological advancements into operational applications. You'll dive into AI data sets, contribute to the deployment of global models, and support the configuration management of our GitHub repository. This internship is not just about learning; it's about stepping into the forefront of climate research and software engineering! If you're currently enrolled in a Master's or Doctorate program with a passion for Meteorology, we want to hear from you. Join us in making a difference and building a safer, more secure world as part of Raytheon. Don't miss out on this chance to take your skills to the next level in a supportive and innovative environment!

Frequently Asked Questions (FAQs) for 2025 Intern - Meteorology Software Engineering Graduate Intern - Onsite (NE) Role at RTX

What are the responsibilities of a Meteorology Software Engineering Graduate Intern at Raytheon?

As a Meteorology Software Engineering Graduate Intern at Raytheon, you will participate in an exciting Agile environment where you will help develop global AI-based numerical weather prediction models. Your tasks will include deploying AI models, working with significant datasets like GFS and GEFS, and contributing to the configuration management of a public-facing GitHub repository. Additionally, you'll assist in completing pivotal project milestones under the guidance of your supervisor.