TSMC Arizona - TSMC AZ Internship Opportunities - Engineering Roles

TSMC•USA-Arizona, AZ

6d•Onsite

About The Position

TSMC Arizona is seeking engineering interns for its advanced technology semiconductor fab in Phoenix, Arizona. Interns may be considered for the engineering roles described below and for other positions aligned with their qualifications. Assignments may include additional duties as needed. Work is on-site and may require travel depending on business needs. The listed opportunities include Process Integration, Yield Excellence, Process, Equipment, Intelligent Manufacturing, Advanced Material Handling System, Quality Management, Product Engineering, Mask Engineering, Central Start-Up Tool Install, Industrial Safety & Health, and Computer Integrated Manufacturing engineering internships. Work may involve semiconductor process and yield analysis, equipment and production improvement, automated material handling, quality systems, tool installation, workplace safety, or manufacturing software and analytics. Interns must be able to work full-time for 10 weeks (40 hours per week) during one of the specified 2027 internship periods. Some roles may involve lifting according to applicable regulations and safety guidelines, and/or working in a cleanroom while wearing protective garments and spending substantial time on the factory floor. Relocation assistance is available. Positions may require access to export-controlled technical data; non-U.S. persons may require an export license.

Requirements

Must be legally eligible to work in the United States.
Must be currently enrolled at an accredited university in a bachelor's, master's, or Ph.D. program in Electrical Engineering, Materials Science, Chemical Engineering, Chemistry, Mechanical Engineering, Physics, Industrial Engineering, Civil Engineering, Construction, or a related engineering field.
Must be available to work full-time, 40 hours per week, for 10 weeks on-site in Phoenix, Arizona, during one of the specified 2027 internship periods: May 24–August 5, June 7–August 20, or June 14–August 27 for semester-system students; June 21–September 3 for quarter-system students.
Must be flexible in changing priorities and responsibilities to support business needs.
Must be a self-motivated learner and proactive collaborator, able to work in a team and present and discuss work and ideas.
Strong communication, computer, presentation, listening, and teamwork skills are needed.
Some roles may require the ability to lift weights in accordance with applicable regulations and safety guidelines, including NIOSH lifting recommendations.
Some roles may require working in a cleanroom while wearing coveralls, a hood, boots, safety glasses, and gloves, and spending significant time on the factory floor working on tools.

Nice To Haves

Knowledge of semiconductor manufacturing processes and design.

Responsibilities

Analyze inline and end-of-line electrical data to identify causes of issues, in collaboration with Integration, Yield Excellence, Process, and Equipment engineers.
Develop defect inspection methods, identify root causes of critical issues, collaborate with stakeholders, and improve techniques for addressing defects on the production line.
Use data-driven analytics and systematic problem-solving to improve semiconductor manufacturing processes, including experimental design, precision control, and statistical methods.
Collaborate with suppliers to address technology gaps and improve process stability, quality, yield, productivity, and safety.
Maintain and improve equipment performance in a cleanroom; troubleshoot alarms, install and qualify tools, resolve equipment issues, improve uptime and hardware capabilities, prevent failures, and coordinate with vendors, facilities, and manufacturing teams.
Improve wafer delivery, productivity, and efficiency using technologies such as Smart Scheduling and Precise Dispatching; optimize systems and support quality defense and daily operations.
Improve automated wafer-transfer systems, including Delivery Time Accuracy and Stocker dispatching, to optimize lot movement and cycle times.
Monitor fabrication processes and manufacturing parameters, apply statistical methods and predictive analytics to optimize process control, support product launches and technology ramps, and help ensure compliance with global quality standards.
Analyze yield and process issues, identify process and quality sweet spots, conduct layout analyses, and perform electrical and physical failure analyses to locate process-stage issues.
Support installation and maintenance of photomask equipment, work with tool owners and vendors to improve maintenance processes, and develop in-line monitoring systems to identify potential issues.
Support manufacturing equipment installation by conducting site assessments, preparing plans, coordinating timelines, identifying site optimization opportunities and process bottlenecks, proposing improvements, and presenting findings.
Support workplace safety and environmental sustainability; implement safety protocols, evaluate hazards such as radiation, lasers, gases, and chemicals, conduct risk assessments, and refine high-risk procedures.
Work on analytical and machine-vision projects addressing production-line issues, including pattern recognition, machine learning, web development, agile software development, monitoring services, deployment pipelines, and machine-learning or statistical models.
Collaborate proactively, work in teams, and present and discuss work and ideas.
Perform additional duties as required.