APTM Yield Analysis Senior Engineer / Team Leader

Intel Corporation
Albuquerque, NM, United States
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

Data Analysis Big Data Data Mining Data Visualization Monitoring of Systems Python (Programming Language) Machine Learning JMP (Statistical Software) Yield Optimization

Job description

Experteer Overview In this role, you will lead yield and defect improvement efforts across Intel’s advanced packaging portfolio. You’ll analyze large data sets from manufacturing and test to identify yield-limiting trends and drive cross-functional actions. You will shape roadmaps, mentor engineers, and partner with engineering, Quality & Reliability, and Product teams to enable successful ramp to high-volume manufacturing. This position offers technical depth in packaging technology and meaningful impact on product quality and yield performance. Compensation / Benefits * Extract insights from structured and unstructured datasets using statistics, ML, and data mining * Analyze large volumes of manufacturing, test, and defect data to identify yield drivers * Develop solutions using process knowledge and structured problem-solving techniques * Drive yield improvement roadmaps across technology development and manufacturing * Relate electrical failures to physical defects via FIFA, DFT, sort and test, and process integration * Evaluate inline defect metrology effectiveness and defect monitoring systems * Collaborate with Process Engineering, Q&R, Product Engineering, and Test Development teams * Prepare and present technical reports on yield performance and defect trends * Define and drive corrective actions to achieve world-class yield * Lead and mentor small teams and travel as required Tasks * Bachelor’s degree with 9+ years of experience, OR Master’s with 6+ years, OR PhD with 4+ years * 5+ years of data analysis experience using JMP, Python, or similar tools * Knowledge of semiconductor manufacturing or advanced packaging * Experience applying statistical analysis to manufacturing or yield problems * Experience with data visualization and large datasets * Strong cross-functional collaboration and communication skills Key requirements * competitive pay * stock bonuses * health benefits * retirement plan * vacation

Requirements

sort and test, and process integration * Evaluate inline defect metrology effectiveness and defect monitoring systems * Collaborate with Process Engineering, Q&R, Product Engineering, and Test Development teams * Prepare and present technical reports on yield performance and defect trends * Define and drive corrective actions to achieve world-class yield * Lead and mentor small teams and travel as required Tasks * Bachelor’s degree with 9+ years of experience, OR Master’s with 6+ years, OR PhD with 4+ years * 5+ years of data analysis experience using JMP, Python, or similar tools * Knowledge of semiconductor manufacturing or advanced packaging * Experience applying statistical analysis to manufacturing or yield problems * Experience with data visualization and large datasets * Strong cross-functional collaboration and communication skills Key requirements * competitive pay * stock bonuses * health benefits * retirement plan * vacation

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on us.experteer.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:31 min

Data mining literary works for language patterns

Jen Looper Jen Looper · Europe 2026 Virtual

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · WWC 2023

3:09 min

Reevaluating engineering careers at major technology corporations

Chris Heilmann +2 · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

2:48 min

Daily responsibilities and alignment practices for technical engineering leadership

Edoardo Dusi · LIVE

Videos

See all

Related articles

See all