Manufacturing Engineering Undergraduate Intern (AI)

Location: On-site in Penang, Malaysia; Shift 1 (Malaysia).

Company

hirify.global Foundry strengthens manufacturing capabilities and operational excellence through technology development and process innovation.

What you will do

• Develop automation scripts and semi-automated data collection methods for package failure analysis using LYA and FA tools.
• Support AI model development and validation for defect detection and data interpretation.
• Prepare inspection datasets, including CSAM and infrared laser scanning confocal images.
• Support benchmarking workflows by comparing AI-driven analysis with manual inspection methods.
• Document workflows, results, and observations for traceability and process consistency.
• Collaborate with cross-functional engineering teams to improve production efficiency and product quality while following safety and data governance requirements.

Requirements

• Currently pursuing a bachelor's degree in Mechanical Engineering, Electrical Engineering, Materials Science, Computer Science, or a related field.
• Proficiency in data analysis tools or programming languages such as Python, MATLAB, or similar.
• Familiarity with AI methodologies, automation processes, or failure analysis techniques.
• Demonstrated problem-solving ability and attention to detail through academic projects, internships, coursework, or hands-on training.
• Strong collaboration and communication skills demonstrated through team-based projects or internships.
• Availability for a minimum internship period of 3 to 6 months, subject to university or college internship requirements and the academic calendar.

Culture & Benefits

• Hands-on projects provide practical learning in manufacturing engineering, automation, AI, and package failure analysis.
• Collaborative work with cross-functional engineering teams in the Penang Package FA LYA team.
• Work is conducted on-site during Shift 1 in Malaysia.
• hirify.global follows safety protocols, data governance requirements, responsible business practices, and ethical hiring standards.

Hiring process

• Qualified applicants are considered without discrimination based on protected characteristics under applicable local law.
• No recruitment, medical examination, or other fees are charged during the hiring process; suspected fee requests should be reported to the recruiter.