Samsung
Yield and Process Control Innovation Engineer
$106K–$145K
1530 FM 973 Taylor, TX, USA · On-site · Full-time · Posted Sep 4, 2026
- Education
- B.E. or M.Sc. in Electrical Engineering, Materials Science, Physics, Applied Physics, or a related field.
- Visa sponsorship
- Applicants must be authorized to access information subject to U.S. export control laws or eligible for government authorization.
About the job
Monitors semiconductor manufacturing and electrical test data, investigates process excursions, and improves yield and process stability using statistical controls and machine learning.
What you'll do
- Monitor inline, metrology, defectivity, and electrical test data; develop data pipelines and automation.
- Develop machine-learning models to detect anomalies and process drift, and maintain statistical process control plans.
- Investigate process variations, implement corrective and preventive actions with cross-functional teams, and report yield and defectivity metrics.
What they ask for
- B.E. or M.Sc. in Electrical Engineering, Materials Science, Physics, Applied Physics, or a related field.
- Understanding of semiconductor device physics, CMOS fabrication processes, electrical parametric testing, and defect inspection mechanisms.
- Strong analytical problem-solving, technical writing, and presentation skills.
- Ability to work in a fast-paced, 24/7 cleanroom environment and manage multiple investigations collaboratively.
Pay
$106,000 - $145,000 USD base salary
Tools
SPC, Machine Learning, Lithography, Etch, Thin Films, CMP, Diffusion, Implant
AI focus
Develop and deploy machine-learning models to scan electrical test datasets for anomalies and process drift.
Model-written summary · the original posting is authoritative