About the role#
Skydweller is seeking an intern to support the development of an Agentic AI system for flight operations and optimization of long-endurance unmanned aircraft systems. You will work alongside aerospace, software, and AI engineers to design and prototype a system that analyzes flight-test telemetry, weather data, and mission constraints to improve energy efficiency and aircraft performance. This is a mentored research and development experience that progresses from AI fundamentals to the validation of a functional prototype.
What you'll do#
- 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, and system architecture, and write activity reports.
- Participate in agile development cycles, design reviews, and technical discussions.
What you'll need#
- Current enrollment as a graduate or upper-level undergraduate student in Computer Science, Aerospace Engineering, Data Science, Mathematics, or a related field.
- Must be a U.S. Person (U.S. Citizen or Green Card holder).
- Must be enrolled at an Oklahoma college or university, or be a CareerTech student concurrently enrolled in college-level coursework.
- Proven experience with Python programming.
- Familiarity with AI/ML concepts such as LLMs or Deep Learning, or data processing is preferred.
- Prior participation in R&D projects related to AI agents, aerospace, or meteorology is a plus.
Location & details#
- Location: Oklahoma City, Oklahoma.
- Work Modality: On-site.
- Employment Type: Full-time internship.
- Term: Rolling.
How to get in at Skydweller Aero
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