Internship - Embedded AI Application Engineering

Overview

This internship focuses on building and deploying AI/ML solutions for embedded and edge devices. The role involves sensor data processing, model development, optimization, and deployment on microcontrollers.

Your Role

Data Management: Work with sensor data collection and preprocessing

Model Development: Build and train AI/ML models

Model Optimization: Optimize models for embedded deployment

Deployment & Testing: Test and deploy solutions on microcontrollers

Internship Learning Outcomes

End-to-End AI/ML Experience: Gain hands‑on experience in the end‑to‑end AI/ML lifecycle, from data acquisition to model deployment on edge devices

Model Efficiency: Develop skills in model quantization, compression, and optimization for resource‑constrained microcontrollers

Research Application: Learn to implement and evaluate state‑of‑the‑art AI techniques based on current research literature

Embedded AI Debugging: Acquire practical expertise in debugging, testing, and tuning embedded AI systems for real‑world applications

Your Profile

Education: Bachelor's in Electrical/Electronics engineering or any related field.

AI/ML Foundations: Basic knowledge of AI/ML concepts and data preprocessing techniques

Technical Proficiency: Familiarity with Python and machine learning frameworks such as TensorFlow or PyTorch

Embedded Systems Knowledge: Understanding of embedded systems or microcontrollers

Analytical Skills: Strong analytical and problem‑solving skills

Industry Interest: Interest in edge AI, embedded applications, and emerging technologies

Self‑Learning Ability: Ability to learn independently and work with technical documentation or research papers

Contact

Hillary Woo

Equal Opportunity Employment

We embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.

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