Analog Devices, Inc.
RF & Embedded Software Intern (Wireless Communications & RF)(m/w/x)
Full-timeInternshipOn-site
München
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ANAnalog Devices, Inc.
RF & Edge AI Intern(m/w/x)
München
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Developing Edge AI for drone detection, building video pipelines for preprocessing, inference, and event logic. Current Masters/PhD student in engineering/CS, solid ML foundations with PyTorch experience preferred. Close mentorship, defined project with milestones, end-of-internship technical readout.
Requirements
- Current Masters or PhD student in Electrical/Electronic Engineering, Computer Engineering, Computer Science, or related field
- Solid ML foundations including CNN-based vision models and evaluation metrics
- Hands-on experience with at least one ML stack (PyTorch preferred, TensorFlow acceptable)
- Experience with video/computer vision tooling and practical pipelines
- Programming ability in Python
- C/C++ programming ability (plus for performance-critical edge work)
- Strong technical communication skills
- Experience with edge runtimes and optimization (desirable)
- Familiarity with embedded/Linux deployment and profiling (desirable)
- Exposure to detection/tracking architectures (desirable)
- Experience with dataset curation/labelling strategies and class imbalance (desirable)
- Understanding of real-world sensing constraints (desirable)
Tasks
- Train drone-detection models with video datasets
- Evaluate models against performance targets
- Iterate on drone-detection models
- Build video pipelines for preprocessing, inference, and post-processing
- Implement event triggering, tracking, and alert logic
- Deploy optimized models on constrained edge platforms
- Apply quantization or pruning to meet platform limits
- Design and execute benchmarking experiments
- Measure accuracy, false positives, and negatives
- Assess robustness to environmental conditions
- Measure end-to-end latency
- Maintain structured data and experiment tracking
- Ensure reproducibility of datasets, configs, and metrics
- Manage model versions
- Communicate technical findings
- Prepare concise reports and demos
- Provide clear recommendations
- Outline next steps
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- TensorFlow
- OpenCV
- FFmpeg
- Python
- C
- C++
- ONNX
- TensorRT
- TFLite
- OpenVINO
- Linux
- NVIDIA GPU
- YOLO-family
- SSD
- DETR
- DeepSORT
- ByteTrack
Benefits
Mentorship & Coaching
- Close mentorship
Diverse Work
- Defined project with milestones
- Exposure to full lifecycle
Other Benefits
- End-of-internship technical readout
Informal Culture
- Collaborative team environment
Learning & Development
- Strong learning culture
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Analog Devices, Inc. and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ANAnalog Devices, Inc.
RF & Edge AI Intern(m/w/x)
München
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Developing Edge AI for drone detection, building video pipelines for preprocessing, inference, and event logic. Current Masters/PhD student in engineering/CS, solid ML foundations with PyTorch experience preferred. Close mentorship, defined project with milestones, end-of-internship technical readout.
Requirements
- Current Masters or PhD student in Electrical/Electronic Engineering, Computer Engineering, Computer Science, or related field
- Solid ML foundations including CNN-based vision models and evaluation metrics
- Hands-on experience with at least one ML stack (PyTorch preferred, TensorFlow acceptable)
- Experience with video/computer vision tooling and practical pipelines
- Programming ability in Python
- C/C++ programming ability (plus for performance-critical edge work)
- Strong technical communication skills
- Experience with edge runtimes and optimization (desirable)
- Familiarity with embedded/Linux deployment and profiling (desirable)
- Exposure to detection/tracking architectures (desirable)
- Experience with dataset curation/labelling strategies and class imbalance (desirable)
- Understanding of real-world sensing constraints (desirable)
Tasks
- Train drone-detection models with video datasets
- Evaluate models against performance targets
- Iterate on drone-detection models
- Build video pipelines for preprocessing, inference, and post-processing
- Implement event triggering, tracking, and alert logic
- Deploy optimized models on constrained edge platforms
- Apply quantization or pruning to meet platform limits
- Design and execute benchmarking experiments
- Measure accuracy, false positives, and negatives
- Assess robustness to environmental conditions
- Measure end-to-end latency
- Maintain structured data and experiment tracking
- Ensure reproducibility of datasets, configs, and metrics
- Manage model versions
- Communicate technical findings
- Prepare concise reports and demos
- Provide clear recommendations
- Outline next steps
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- TensorFlow
- OpenCV
- FFmpeg
- Python
- C
- C++
- ONNX
- TensorRT
- TFLite
- OpenVINO
- Linux
- NVIDIA GPU
- YOLO-family
- SSD
- DETR
- DeepSORT
- ByteTrack
Benefits
Mentorship & Coaching
- Close mentorship
Diverse Work
- Defined project with milestones
- Exposure to full lifecycle
Other Benefits
- End-of-internship technical readout
Informal Culture
- Collaborative team environment
Learning & Development
- Strong learning culture
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Analog Devices, Inc. and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Analog Devices, Inc.
Industry
Manufacturing
Description
The company is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge.
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