Senior Yield Analytics Engineer, Advanced Packaging

Intel; Albuquerque (NM); Hybrid; USD 164,000 - 232,000; Full time

Benefits offered by this job

Competitive pay

Stock bonuses

Health, retirement, and vacation plans

Job summary

Intel is seeking a Yield Analysis engineer in Albuquerque, NM to drive yield and defect improvement across packaging technologies. The role involves leading data-driven analyses on large datasets, applying statistics and ML to prioritize actions, and collaborating across Process Engineering, Integration, and Product Development teams.

The candidate should have strong communication skills, an ability to work autonomously, and willingness to travel domestically and internationally as needed.

Qualifications

• Bachelor's degree with at least 6 years of relevant experience, or Master's with 4+ years, or PhD with 2+ years in a related field.
• 3+ years of experience in data analysis through JMP, Python, or other data engineering software.

Responsibilities

• Extract insights from structured and unstructured data by quickly synthesizing large data volumes using statistics and ML.
• Understand relationship between electrical and physical fails including FIFA, DFT, Sort/Test, and Inline Metrology.
• Develop partnerships with Process Engineering, Integration, QNR, and Product/Test Development Engineering.
• Prepare detailed reports summarizing yield and device health; drive actions to improve yield.

Skills

Data analysis

Python

Statistics

Machine learning

Data visualization

Education

Bachelor's degree or higher in Materials Science and Engineering, Mechanical, CS, IS, Chemical, Electrical, Physics, or related field

PhD with relevant experience

Tools

JMP

Python

Job description

Intel is seeking a Yield Analysis engineer in Albuquerque, NM to drive yield and defect improvement across packaging technologies. The role involves leading data-driven analyses on large datasets, applying statistics and ML to prioritize actions, and collaborating across Process Engineering, Integration, and Product Development teams.

The candidate should have strong communication skills, an ability to work autonomously, and willingness to travel domestically and internationally as needed.