CMOS BEOL Reliability Lead | Technical & People Leadership

Samsung Electronics America; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical/Dental/Vision

401(k) matching

Onsite facilities

Family leave

Paid time off

Wellness incentives

MBO bonuses

Job summary

Samsung Austin Semiconductor seeks a BEOL Reliability specialist to lead reliability improvements for advanced CMOS technology nodes. You will collaborate with cross‑functional teams to plan evaluations and qualify new tech, use DOE and statistical models to extract lifetimes, and develop tests to detect reliability risks.

The role requires oversight to meet KPIs and align with department goals. The position is on‑site in Austin, with a strong focus on reliability for ongoing process

Qualifications

• Master or Bachelor degree or equivalent +5 years of relevant experience in WLR reliability.
• Proven experience in reliability improvement activities and data-driven decisions.
• Familiarity with CMOS technology and semiconductor fabrication processes.

Responsibilities

• Provide technical leadership for reliability improvement activities across cross‑functional teams.
• Plan and execute reliability evaluations for technology qualification and process changes.
• Design, execute, and analyze experiments to improve fabrication processes.
• Use reliability models to extract lifetime from time‑to‑fail data.
• Develop reliability test methods and modeling for risk detection and margin improvement.
• Align group tasks with department and facility objectives to meet KPIs.

Skills

Reliability engineering

Design of experiments

Statistical analysis

Cross-functional collaboration

Problem solving

Education

Master or Bachelor degree in a relevant field

Tools

Statistical tools

Job description

Samsung Austin Semiconductor seeks a BEOL Reliability specialist to lead reliability improvements for advanced CMOS technology nodes. You will collaborate with cross‑functional teams to plan evaluations and qualify new tech, use DOE and statistical models to extract lifetimes, and develop tests to detect reliability risks.

The role requires oversight to meet KPIs and align with department goals. The position is on‑site in Austin, with a strong focus on reliability for ongoing process