Rf & Edge Ai Intern (video Analytics)

Analog Devices Foundation

Munich, Germany
On-site
Ml foundations including cnns
Pytorch or tensorflow experience
Video/computer vision tooling
Analog Devices Foundation is seeking an RF & Edge AI Intern for a 4-6 month internship focused on developing and validating video analytics for drone detection in Munich, Germany. The ideal candidate should be a current Masters or PhD student in a related field with strong foundations in machine learning and experience in video/computer vision

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, and deploy optimized models on constrained edge platforms.
  • ADI’s culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards.

Matching Summary

Match Score: 85

Analog Devices Foundation is seeking an RF & Edge AI Intern for a 4-6 month internship focused on developing and validating video analytics for drone detection in Munich, Germany. The ideal candidate should be a current Masters or PhD student in a related field with strong foundations in machine learning and experience in video/computer vision.

Skills & Requirements

Must-have

  • ML foundations including CNNs
  • PyTorch or TensorFlow experience
  • Video/computer vision tooling
  • Python programming ability
  • Structured data and experiment tracking

Nice-to-have

  • Edge runtimes and optimization
  • Embedded/Linux deployment
  • Detection/tracking architectures
  • Dataset curation strategies
  • Real-world sensing constraints

Key Requirements

  • Masters or PhD student
  • Enrolled throughout the internship
  • Python programming ability
  • C/C++ is a plus

Work Rights

Not specified

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