
Front End and UI Software Engineering Intern
- Machine Learning
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About Guardian RF
Drone detection for US defense and national security
Tech
Tech Description Our platform combines low-SWaP-C RF sensing hardware with scalable backend services and data science analytics. Engineers at Guardian RF work on challenges like: Real-time signal processing across wide RF spectra. High-throughput data pipelines and distributed backend systems. Machine learning for classification and tracking of drones. API integrations with command-and-control and emergency response platforms. Edge computing optimization for low-latency situational awareness.
The role
Guardian RF is building next-generation drone detection systems to protect critical infrastructure, national security, and public safety. Our passive RF-based platform delivers situational awareness by detecting both compliant and non-compliant drones and presenting actionable intelligence to security and law enforcement operators.This is a remote, part-time internship for students, approximately 20 hours per week. The role is designed to run alongside academic commitments and provides hands-on experience with production systems deployed in real operational environments.As a front end and UI engineering intern, you will design and implement user interfaces for mission-critical applications. Your work will focus on transforming complex RF and airspace data into clear, usable visualizations and workflows. You will collaborate closely with backend engineers, RF engineers, and product leadership to ensure accuracy, responsiveness, and reliability across the platform. You will also contribute to UI patterns, layout decisions, and interaction logic as the product evolves.
Front End and UI Software Engineering Intern Β· Guardian RF