Wet Process Engineer Intern

An internship at onsemi offers a dynamic opportunity to gain hands-on experience through real-world projects that drive innovation in the semiconductor industry. Interns are entrusted with meaningful responsibilities and exposed to cutting-edge technologies, fostering both technical skill development and professional growth.

onsemi views internships as a strategic pipeline for entry-level career positions, providing a collaborative and inclusive environment where interns work alongside diverse teams and contribute to high-impact initiatives. The company’s commitment to sustainability, including its goal of achieving net-zero emissions by 2040, enables interns to engage in projects that align with global environmental priorities.

Key benefits include:

• Competitive compensation and medical benefits
• Flexible work hours aligned with academic schedules
• Access to Employee Resource Groups (ERGs) which foster a sense of belonging and provide opportunities for mentorship and community engagement
• Networking events, professional development workshops, and project showcases that build career readiness and visibility across the organization

Internship roles span multiple disciplines including engineering, business operations, data analytics, and finance, and are designed to align with onsemi’s strategic goals of innovation and workforce development. Structured programs such as rotational field sales and finance analyst tracks offer additional career pathways for interns transitioning into full-time roles.

We are seeking a highly motivated Wet Process Engineering Intern to support operational efficiency and continuous improvement initiatives within a semiconductor manufacturing environment. This internship is intended for a Junior or Senior undergraduate student pursuing a degree in Electrical Engineering, Materials Science, Physics, Chemistry, Chemical Engineering, Mechanical Engineering, Industrial Engineering, or a related engineering discipline.

The successful candidate will work closely with Wet Process, Equipment, Manufacturing, and Industrial Engineering teams to identify and execute opportunities that improve factory productivity, equipment reliability, process stability, and manufacturing efficiency. The primary internship project will focus on Tool Alarm Reduction, Preventive Maintenance (PM) Optimization, or Yield Improvement, with specific project objectives determined based on 2Q27 business and manufacturing priorities.

This role provides hands-on exposure to semiconductor wet processing operations, equipment engineering, manufacturing systems, data analytics, and continuous improvement methodologies.

Required Qualifications

• Currently pursuing a Bachelor's degree in: 
  • Electrical Engineering (EE)
  • Materials Science
  • Physics
  • Chemistry
  • Chemical Engineering
  • Mechanical Engineering
  • Industrial Engineering
  • Other related STEM disciplines
• Junior or Senior undergraduate standing preferred.
• Minimum GPA of 3.0 preferred.
• Strong analytical and problem-solving skills.
• Experience using Microsoft Excel for data analysis and visualization.
• Ability to work effectively in a team-oriented manufacturing environment.
• Excellent written and verbal communication skills.

Desired Characteristics

• Self-motivated and eager to learn in a fast-paced manufacturing environment.
• Strong attention to detail and organizational skills.
• Comfortable working on the manufacturing floor and interacting with production equipment.
• Curious mindset with a passion for solving operational challenges.
• Ability to transform data into actionable recommendations.
• Strong teamwork and collaboration skills.

Learning Opportunities

During this internship, the selected candidate will gain experience in:

• Semiconductor wet processing operations
• Factory operations and production systems
• Equipment reliability and maintenance strategies
• Tool alarm analysis and reduction methodologies
• Preventive maintenance optimization techniques
• Yield improvement and defect reduction strategies
• Data analytics and statistical analysis
• Lean manufacturing and operational excellence
• Root cause analysis and structured problem solving
• Technical presentation and project management skills
• Cross-functional collaboration within a semiconductor fab

Factory Operational Efficiency

• Support projects focused on reducing non-value-added activities and improving manufacturing productivity.
• Analyze equipment performance, utilization, downtime, and operational metrics to identify improvement opportunities.
• Develop and maintain operational dashboards, KPIs, and performance tracking metrics.
• Monitor production performance and identify trends impacting factory output, cycle time, and tool availability.
• Participate in Lean Manufacturing and Operational Excellence initiatives.

Tool Alarm Reduction, PM Optimization, & Yield Improvement

• Analyze equipment alarm history and identify recurring issues impacting factory performance.
• Support efforts to reduce nuisance alarms and improve tool reliability.
• Evaluate Preventive Maintenance (PM) effectiveness and identify opportunities to optimize maintenance intervals and procedures.
• Collect and analyze equipment and process data to improve tool uptime and operational performance.
• Participate in root cause investigations related to equipment excursions, process defects, or yield loss events.
• Support implementation and validation of corrective and preventive actions.

Wet Process Engineering Support

• Gain exposure to semiconductor wet processing operations, including cleaning, etching, stripping, and surface preparation processes.
• Support engineers in evaluating process performance and identifying efficiency improvement opportunities.
• Observe and participate in problem-solving efforts related to yield, defects, contamination control, and equipment performance.
• Present project updates and final recommendations to engineering and management teams.

Data Analysis & Continuous Improvement

• Collect, organize, and analyze manufacturing, equipment, and process performance data.
• Perform statistical analysis using Minitab, Excel, and other engineering tools.
• Generate reports and presentations summarizing findings, recommendations, and project outcomes.
• Support data-driven decision making through trend analysis and performance monitoring.
• Assist in implementing sustainable process and operational improvements.