Praktikant:in (w/m/d) System Engineering
Core
Deploying Edge-AI solutions and optimizing machine learning models for audio signals on embedded platforms.
Role type
Intern, Embedded Systems & Machine Learning Engineer
Builds
Edge-AI solutions for audio processing on NXP hardware
Domain
Embedded Systems, Audio Signal Processing, Machine Learning
Deliverable
production ML models
Required skills
Machine Learning, Audio Signal Processing, Neural Network Training, Data Preparation, Embedded Deployment, Model Optimization (Quantization, Pruning)
Preferred skills
Cadence NeuroWeave SDK, XNNC, Python, TensorFlow, PyTorch, Edge AI
Technologies
TensorFlow Lite, LiteRT for Microcontrollers, Glow, IREE, (micro)TVM, MCUs, DSPs, NPUs
Responsibilities
Deploy Edge-AI solutions on NXP hardware, Select and implement ML models for audio signals, Prepare and analyze training data, Evaluate and optimize solution performance, Analyze and optimize AI inference on embedded platforms
Seniority
Intern
