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RF & Edge AI Intern(m/w/x)
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.
Anforderungen
- 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)
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- TensorFlow
- OpenCV
- FFmpeg
- Python
- C
- C++
- ONNX
- TensorRT
- TFLite
- OpenVINO
- Linux
- NVIDIA GPU
- YOLO-family
- SSD
- DETR
- DeepSORT
- ByteTrack
Benefits
Mentoring & Coaching
- Close mentorship
Abwechslungsreiche Aufgaben
- Defined project with milestones
- Exposure to full lifecycle
Sonstige Vorteile
- End-of-internship technical readout
Lockere Unternehmenskultur
- Collaborative team environment
Weiterbildungsangebote
- Strong learning culture
Noch nicht perfekt?
- Analog Devices, Inc.VollzeitPraktikumnur vor OrtMünchen
- Analog Devices, Inc.
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RF & Edge AI Intern(m/w/x)
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.
Anforderungen
- 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)
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- TensorFlow
- OpenCV
- FFmpeg
- Python
- C
- C++
- ONNX
- TensorRT
- TFLite
- OpenVINO
- Linux
- NVIDIA GPU
- YOLO-family
- SSD
- DETR
- DeepSORT
- ByteTrack
Benefits
Mentoring & Coaching
- Close mentorship
Abwechslungsreiche Aufgaben
- Defined project with milestones
- Exposure to full lifecycle
Sonstige Vorteile
- End-of-internship technical readout
Lockere Unternehmenskultur
- Collaborative team environment
Weiterbildungsangebote
- Strong learning culture
Über das Unternehmen
Analog Devices, Inc.
Branche
Manufacturing
Beschreibung
The company is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge.
Noch nicht perfekt?
- Analog Devices, Inc.
RF & Embedded Software Intern (Wireless Communications & RF)(m/w/x)
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VollzeitPraktikumnur vor OrtMünchen - Airbus Defence and Space GmbH
Internship in Neuromorphic Computer Vision(m/w/x)
VollzeitPraktikumnur vor OrtMünchen - Airbus Defence and Space GmbH
Internship in Probabilistic Deep Learning(m/w/x)
VollzeitPraktikumnur vor OrtTaufkirchen, München, Ottobrunn