Current masters or phd student in engineering or cs
Solid ml foundations with cnn-based vision models
Hands-on experience with pytorch or tensorflow
Analog Devices is seeking a RF & Edge AI Intern for a 4–6 month internship in Munich, focusing on video analytics for drone detection. The role emphasizes hands-on experience in machine learning and computer vision, with mentorship and the opportunity for a full-time position upon completion
Job Summary
This internship focuses on building and validating video analytics for drone detection and situational awareness use cases on constrained edge platforms.
You will train, evaluate, and iterate drone-detection models while deploying optimized solutions that meet strict latency, power, and memory limits.
The program offers close mentorship from a technical team, structured milestones, and exposure to the full lifecycle from data collection to deployment.
Matching Summary
Match Score: 85
Analog Devices is seeking a RF & Edge AI Intern for a 4–6 month internship in Munich, focusing on video analytics for drone detection. The role emphasizes hands-on experience in machine learning and computer vision, with mentorship and the opportunity for a full-time position upon completion.
Skills & Requirements
Must-have
Current Masters or PhD student in Engineering or CS
Solid ML foundations with CNN-based vision models
Hands-on experience with PyTorch or TensorFlow
Experience with OpenCV and FFmpeg for video pipelines
Strong Python programming skills
Nice-to-have
Experience with ONNX, TensorRT, TFLite, or OpenVINO
Familiarity with embedded Linux deployment and profiling
Knowledge of YOLO-family or DETR architectures
Understanding of real-world sensing constraints
C/C++ programming for performance-critical work
Key Requirements
Enrolled Masters or PhD student throughout internship
US Citizenship or Permanent Resident status required for export control compliance
Work Rights
US Citizens, US Permanent Residents, or protected individuals preferred; others may require export licensing review