Yield & Process Optimization Engineer - Data-Driven

Samsung; Austin (TX); On-site; USD 95,000 - 120,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) matching

Onsite café

Workout facilities

Maternity/paternity leave

Paid time off

Wellness incentives

Performance bonuses

Job summary

Samsung Austin Semiconductor is seeking a highly analytical Yield and PCI Engineer to monitor wafer manufacturing, drive yield enhancement, and investigate process excursions. You will use SPC, defect data, and parametric tests to identify root causes and implement robust improvements.

Work with Process, Equipment, and Integration engineers to ensure stability, reduce defects, and maximize yield. Strong data science skills in Python, JMP, and SQL are required.

Qualifications

• B.E./M.Sc. in Electrical Engineering, Materials Science, Physics, Applied Physics, or related field.
• Understanding of semiconductor device physics and CMOS fabrication processes.
• Understanding of electrical parametric testing and defect inspection mechanisms.
• Strong technical writing and presentation skills to communicate data clearly.
• Ability to thrive in a fast-paced 24/7 cleanroom manufacturing environment.
• Capable of leading multiple investigations with cross-functional teams.
• Excellent verbal and written communication for reporting to home teams and stakeholders.

Responsibilities

• Predictive Yield Modeling: develop, implement, and validate yield prediction models.
• Baseline Forecasting: forecast yield trajectories for ramping and mature nodes.
• Yield Analysis & Improvement: perform data mining to identify yield limiters and actions.
• Root Cause & Failure Analysis: lead RCA correlating electrical signatures with defects.
• Data Science & Modeling: apply ML to build yield models and analytics pipelines.
• Yield Management: define roadmaps, KPIs, mentor engineers, report yield health to leadership.

Skills

Cross-functional leadership

Analytical problem solving

Technical writing & presentation

Data analysis concepts

Education

B.E./M.Sc. in Electrical Engineering, Materials Science, Physics, Applied Physics

Tools

Python

JMP

SQL

Job description

Samsung Austin Semiconductor is seeking a highly analytical Yield and PCI Engineer to monitor wafer manufacturing, drive yield enhancement, and investigate process excursions. You will use SPC, defect data, and parametric tests to identify root causes and implement robust improvements.

Work with Process, Equipment, and Integration engineers to ensure stability, reduce defects, and maximize yield. Strong data science skills in Python, JMP, and SQL are required.