Senior BEOL Reliability Engineer - CMOS Tech & Optimization

Bzpp; United States; Vor Ort; USD 70.000 - 213.000; Vollzeit

Benefits dieser Stelle

Medical Insurance

Dental/Vision Insurance

401(k) Matching

Onsite amenities

Paid leave and holidays

Wellness programs

Performance bonuses

Zusammenfassung

Samsung Austin Semiconductor is seeking a BEOL TQR Staff Engineer to lead reliability activities for advanced CMOS technology nodes. You will partner with cross-functional teams to plan and execute reliability evaluations, design experiments, and analyze data to improve fabrication processes.

Ideal candidates hold a BS/MS/PhD in Material, Electrical, or Mechanical Engineering, with strong problem-solving skills and deep knowledge of reliability failure mechanisms and wafer fabrication.

Qualifikationen

• Strong problem-solving skill with knowledge of reliability failure mechanisms and statistics.
• In-depth knowledge of wafer-fabrication process.

Aufgaben

• Provide technical leadership for reliability improvement activities, collaborating closely with cross-functional teams.
• Identify, plan, and execute reliability evaluations for new technology qualification, process changes and abnormal events.
• Design, execute, and analyze designed experiments to improve semiconductor fabrication processes.
• Utilize statistical tools and reliability models to extract lifetime from time to fail data.
• Conduct reliability assessment to ensure semiconductor fabrication process robust and optimized.
• Develop and optimize reliability test method and modeling for reliability risk detection and margin improvement.

Kenntnisse

Strong problem-solving

Reliability knowledge

Wafer fabrication knowledge

Ausbildung

BS/MS/PhD in Material, Electrical, or Mechanical Engineering

Jobbeschreibung

Samsung Austin Semiconductor is seeking a BEOL TQR Staff Engineer to lead reliability activities for advanced CMOS technology nodes. You will partner with cross-functional teams to plan and execute reliability evaluations, design experiments, and analyze data to improve fabrication processes.

Ideal candidates hold a BS/MS/PhD in Material, Electrical, or Mechanical Engineering, with strong problem-solving skills and deep knowledge of reliability failure mechanisms and wafer fabrication.