Intern - Compact Modeling Flow using AI/ML/Automation

We are looking for a highly motivated and talented individual to join our team as an Intern in Compact Modeling Flow using AI/ML/Automation. The ideal candidate will have a strong foundation in computer science or related fields, with a keen interest in artificial intelligence, machine learning, and automation.

Roles and Responsibility

• Collaborate with cross-functional teams to design and develop compact modeling flows using AI/ML/Automation.
• Develop and implement automated testing frameworks to ensure high-quality output from modeling processes.
• Work closely with data scientists to integrate models into larger systems and applications.
• Participate in the development of new algorithms and techniques to improve modeling efficiency.
• Troubleshoot issues and debug code to resolve errors in modeling workflows.
• Stay up-to-date with industry trends and advancements in AI/ML/Automation.

Job Requirements

• Strong understanding of computer science fundamentals, including data structures, algorithms, and software design patterns.
• Proficiency in programming languages such as Python, C++, or Java.
• Experience with AI/ML/Automation tools and technologies, including deep learning frameworks and natural language processing.
• Excellent problem-solving skills, with the ability to analyze complex problems and develop creative solutions.
• Strong communication and collaboration skills, with experience working in agile development environments.
• Ability to learn quickly and adapt to new technologies and processes.

About Company

Global Foundries Inc is a leading company in the foundry industry, committed to innovation and excellence in all aspects of operations. We offer a dynamic and supportive work environment, with opportunities for professional growth and development.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.