Rf & Edge Ai Intern (video Analytics)

Analog Devices

Munich, Germany
Train and evaluate drone-detection models
Build video processing pipelines
Deploy optimized models on edge
This internship focuses on building and validating video analytics for drone detection and related situational awareness use cases, taking models from dataset to deployment on edge devices

Job Summary

  • This internship focuses on building and validating video analytics for drone detection and related situational awareness use cases, taking models from dataset to deployment on edge devices.
  • You will train, evaluate, and iterate drone-detection models, build video pipelines, deploy optimized models on constrained edge platforms, and design benchmarking experiments.
  • ADI’s culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards.

Matching Summary

This internship focuses on building and validating video analytics for drone detection and related situational awareness use cases, taking models from dataset to deployment on edge devices.

Skills & Requirements

Must-have

  • Train and evaluate drone-detection models
  • Build video processing pipelines
  • Deploy optimized models on edge
  • Design benchmarking experiments
  • Maintain structured data and tracking
  • Communicate technical findings

Nice-to-have

  • Experience with edge runtimes
  • Familiarity with embedded/Linux deployment
  • Exposure to detection/tracking architectures
  • Understanding of real-world sensing constraints

Key Requirements

  • Current Masters or PhD student
  • Solid ML foundations
  • Hands-on experience with ML stack
  • Experience with video/computer vision tooling
  • Programming ability in Python
  • Strong technical communication skills

Work Rights

Not specified

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