Internship - Embedded AI Application Engineering

Infineon Technologies AG; Singapore; On-site; SGD 16,740 - 27,900; Full time

Job summary

Infineon Technologies AG is offering an exciting internship in Singapore focusing on building and deploying AI and ML solutions for embedded and edge devices. Interns will gain hands-on experience in sensor data management, model development, and deployment, with a focus on resource-constrained microcontrollers.

The ideal candidate should have a Bachelor's degree in Electrical or Electronics Engineering and a basic understanding of AI/ML concepts. This role enables interns to enhance their skills in debugging and optimizing embedded AI systems.

Qualifications

• Basic knowledge of AI/ML concepts and data preprocessing techniques.
• Understanding of embedded systems or microcontrollers.
• Strong analytical and problem-solving skills.

Responsibilities

• Work with sensor data collection and preprocessing.
• Build and train AI/ML models.
• Optimize models for embedded deployment.
• Test and deploy solutions on microcontrollers.

Skills

Python

Machine Learning Frameworks (TensorFlow/PyTorch)

Analytical Skills

AI/ML Concepts

Embedded Systems Knowledge

Education

Bachelor's in Electrical/Electronics Engineering or related field

Job description

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.