Mission Systems Software & Edge Computing Intern – Norman, OK

• Current enrollment in a relevant undergraduate or graduate degree program
• Coursework or project experience in Python, JavaScript, databases, software engineering, or data processing
• Ability to work independently in a remote environment and participate in regular technical reviews
• Strong written communication and technical documentation skills
• Interest in mission systems, radar, weather, AI/ML, edge computing, Digital Twins, geospatial data, or distributed systems
• US Citizenship

• Experience with Linux, containers, Structured Query Language (SQL), web applications, or automated testing
• Coursework or projects involving AI/ML, signal processing, computer vision, or geospatial analysis
• Familiarity with Graphics Processing Units (GPUs), embedded computing, or edge platforms

Peraton is seeking Mission Systems Software and Edge Computing Interns to support supervised software development, data engineering, testing and market research for a major federal mission modernization pursuit.

Part-time: 15–20 hours per week during the academic year

Full-time: 30 hours per week during the summer

Anticipated end date:
December 2027

The intern(s) will work with Peraton solution architects, engineers and technology teams on distributed mission systems involving remote sites, edge computing, data processing, system health, fleet operations and decision support.

The position is intended to produce practical technical results. Each intern will receive clearly bounded assignments with defined objectives, acceptance criteria, documentation, testing and demonstration requirements

• Develop and test software modules for distributed mission and edge computing prototypes.
• Build data ingestion, transformation, database, and visualization capabilities.
• Support scenario and Digital Twin functions involving asset failures, maintenance, deployment, logistics, and fleet readiness.
• Conduct market research on radar manufacturers, computing hardware, software products, data standards, and emerging technologies.
• Use Peraton approved Artificial Intelligence and Machine Learning (AI/ML) tools to support research, analysis, software development, and knowledge organization.
• Integrate approved software libraries, Application Programming Interfaces (APIs), and data formats into prototype systems.
• Create automated unit, integration, regression, and edge case tests.
• Document architecture, interfaces, assumptions, limitations, test evidence, and technical findings.
• Participate in technical reviews and demonstrate completed work to Peraton stakeholders

#Peraton Intern