About this role
The role involves building and deploying AI/ML solutions for embedded and edge devices, focusing on sensor data processing and model development. Key tasks include optimizing models for microcontrollers and testing these solutions in real-world applications.
Candidates should hold a Bachelor's degree in Electrical/Electronics engineering or a related field. Proficiency in Python, machine learning frameworks like TensorFlow or PyTorch, and a basic understanding of embedded systems are required.
What they're looking for
AI/MLEmbedded SystemsPythonTensorFlowPyTorchModel OptimizationSensor Data ProcessingMicrocontrollers
Frequently asked questions
What does a Internship - Embedded AI Application Engineering at Infineon do?
The role involves building and deploying AI/ML solutions for embedded and edge devices, focusing on sensor data processing and model development. Key tasks include optimizing models for microcontrollers and testing these solutions in real-world applications. Candidates should hold a Bachelor's degre…
What skills does this Internship - Embedded AI Application Engineering role need?
Key skills for this role include AI/ML, Embedded Systems, Python, TensorFlow, PyTorch, Model Optimization.
How much does a Internship - Embedded AI Application Engineering at Infineon pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Internship - Embedded AI Application Engineering role remote, hybrid, or on-site?
This role is hybrid, based in Singapore.
How do I apply for this Internship - Embedded AI Application Engineering role?
You can apply directly on Infineon's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.