Ion Implant Process Engineering Intern

GLOBALFOUNDRIES SINGAPORE PTE. LTD. - FAB 2; Singapore; Sur place; SGD 11 000 - 18 000; Plein temps

Résumé du poste

GlobalFoundries Singapore invites students for a 20-24 week internship in Implant Process Engineering. You will work with ion implantation, learn robust, manufacturable protocols, and apply PDCA to drive improvements.

You will gain exposure to failure analysis techniques such as SIMS and data analytics using JMP, participate in cost-benefit and productivity assessments, and collaborate with cross-functional teams under one-on-one mentorship.

Qualifications

• Actively pursuing a Bachelor’s Degree in Engineering/Science or any related field through an accredited degree program during the internship.
• This application is for students undertaking a 20-24 week credit-bearing internship from June 2026 onwards.

Responsabilités

• Acquire foundational knowledge of ion implantation processes and equipment principles.
• Gain proficiency in implant tool operation and handling.
• Analyze historical data on phosphorus contamination incidents in arsenic-implanted wafers.
• Conduct a comprehensive literature review to identify potential mitigation strategies.
• Apply PDCA (Plan-Do-Check-Act) methodology to design evaluation plans and develop solutions tailored to the current fab operational environment.
• Formulate a detailed implementation roadmap for proposed solutions.
• Execute project management activities, collaborating with cross-functional teams to achieve defined project objectives.
• Perform all activities in a safe and responsible manner and support Environmental, Health, Safety & Security requirements, and programs.

Formation

Bachelor’s Degree in Engineering/Science

Description du poste

GlobalFoundries Singapore invites students for a 20-24 week internship in Implant Process Engineering. You will work with ion implantation, learn robust, manufacturable protocols, and apply PDCA to drive improvements.

You will gain exposure to failure analysis techniques such as SIMS and data analytics using JMP, participate in cost-benefit and productivity assessments, and collaborate with cross-functional teams under one-on-one mentorship.