Software Application Developer Intern for GOES-R Series Satellites

KBR, Inc. is a company dedicated to improving the world through innovation and science. The internship position focuses on supporting the NOAA GOES-R Series satellites, where interns will contribute to software development and environmental monitoring efforts.

Responsibilities

• Support and enhance operational weather and satellite-processing systems that power NOAA mission software
• Contribute to visualization interfaces and environmental data tools used by NOAA scientists, NWS forecasters, and partners across the weather enterprise
• Participate in software testing and refinement for pre-operational and operational satellite products
• Collaborate with specialists supporting one of NOAA’s flagship missions for the Nation’s weather-ready infrastructure
• Gain hands-on experience at the intersection of software engineering, meteorology, Earth science, and satellite remote sensing

Skills

• High school diploma or equivalent
• Enrollment in an accredited undergraduate or graduate program
• Strong foundation in mathematics and geometry, including basic integral calculus
• Two semesters of college physics
• Proficiency in Python, including object-oriented programming and scientific libraries (NumPy, SciPy)
• Functional experience with Linux environments (RedHat/CentOS), bash, and standard text editors (vi)
• Familiarity with Git version control workflows
• U.S. Citizenship is required due to the nature of the work
• Experience or interest in the NOAA, NWS, or U.S. weather enterprise, including exposure to satellite, radar, numerical weather prediction, or environmental data workflows
• Familiarity with Agile or Scrum software development practices
• Basic knowledge of SQL or NoSQL databases
• Understanding of scientific software development and practices for maintaining robust, scalable code
• Exposure to cloud-based environments used for data processing or scientific computing
• Interest in remote sensing, satellite products, AWIPS, environmental intelligence tools, or forecasting workflows
• Strong problem-solving and debugging skills
• Excellent communication skills, with an ability to translate technical concepts for scientists, engineers, and operational users
• Eagerness to explore new tools, technologies, and methodologies used across the weather enterprise
• Scientific visualization using JavaScript (e.g., D3.js)
• Satellite imagery processing, feature extraction, or algorithm prototyping
• Data science techniques for user analytics, monitoring, and system diagnostics
• Enhancing tools commonly used by NWS forecasters and NOAA scientists

Benefits

• 401K plan with company match
• Medical
• Dental
• Vision
• Life insurance
• AD&D
• Flexible spending account
• Disability
• Paid time off
• Flexible work schedule

Company Overview