The objective of the internship/Co-Op project is to develop code that utilizes machine learning for DFM applications. Specifically, new methodologies for fast critical area analysis will be developed. The intern/Co-Op will work directly with DFM applications for advanced technologies, and will be working with DFM engineers to create and verify updates to experimental code.The intern will have the opportunity to learn about DFM methodologies, advanced technology layouts, and advanced lithography methods like double patterning.The assignment would involve getting exposure to leading edge foundry EDA tools, learning about design flows, and yield / design interaction.
MS Student enrolled in an accredited program in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, Physics, or related fields.Minimum of 3 months programming experience with Python.Comfortable working in UNIX environments, knowledge of UNIX commands. Preferred Qualifications\: VLSI design courses / experience,Semiconductor Process Technology courses / experience,Experience using Python based machine learning algorithms.Excellent academic standing.strong written and oral communication skills.Attention to detail.Self-motivated; able to take ownership of assignments, develop work plans and proactively seek feedback to ensure objectives are aligned and met.Team player; able to succeed in a dynamic, fast paced environment.
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GLOBALFOUNDRIES is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GLOBALFOUNDRIES goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
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