Advanced Packaging Senior Yield Analysis
Listed on 2026-08-07
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Engineering
Quality Engineering, Manufacturing Engineer, Research Scientist
Job Details:
Job Description:
Advanced Packaging Technology and Manufacturing (APTM) Yield Group is looking for a Yield Analysis engineer to join our team tasked with the objective of driving yield and defect improvement across APTM portfolio of packaging technologies. As a yield analysis engineer, the successful candidate will set priorities for the team, get results across boundaries, ensure an inclusive work environment, and demonstrate progress to key yield milestones in technology development and high volume manufacturing phases.
Our job is to understand where our manufacturing process, test content and inline metrologies need to be improved and fixed. We are looking for engineers who love solving technical problems, are driven to achieve results, and are flexible to adapt to new methods, tools, and fields of study depending on what is needed to solve the problem will have access to extremely large datasets and the potential to become a technology expert.
- Extract insights from structured and unstructured data by quickly synthesizing large volumes of data, applying statistical methods and machine learning techniques
- Develop solutions to problems by utilizing formal education, knowledge of manufacturing process, statistical knowledge, and problem-solving tools
- Independently drive recommendations and influence the Yield improvement roadmap .
- Good understanding of the relationship between electrical and physical fails including a deep knowledge of FIFA, DFT, Sort/Test, Integration/Process Flow, Data mining, Databases, Data manipulation, and Data visualization.
- Good understanding of Inline Defect Metrology, detection capabilities and underlying defect systems in the factory.
- Developing strong partnerships with diverse groups such as Process Engineering, Integration, QNR, and Product and Test Development Engineering.
- Preparing detailed, clear, and timely reports summarizing the yield and device health.
- Owning determining the actions required to deliver Best in Class yield levels.
- Developing solutions to problems using process, Sort/Test and inline metrology knowledge, statistical knowledge, and problem-solving skills.
- Work with both upstream, downstream and cross functional key partners to ensure successful technology development, transfer and ramp of new technology into HVM.
Some domestic and international travel will be needed The candidate should also exhibit the following behavioral traits or/and skills:
Behaviors- Excellent analytical skills and a passion for data analysis and problem-solving.
- Excellent organizational skills with strong attention to detail.
- Excellent interpersonal skills with the skills to work with people at all levels.
- Excellent communication and presentation skills to influence and direct a wide variety of groups at all levels.
- Capable of working autonomously with minimal oversight or coaching.
- Be capable of directing cross-functional teams and working effectively across organizational boundaries.
- Minimum qualifications:
Bachelor's degree with at least 6 years of relevant experience, or Master's degree with at least 4 years of relevant experience, or PhD with at least 2 years of relevant experience in Materials Science and Engineering, Mechanical Engineering, Computer Science, Information Systems, Chemical Engineering, Electrical Engineering, Chemistry, Physics, or a related field. - 3+ years of experience in data analysis through JMP, Python, or other data engineering software.
- Preferred qualifications:
In-depth understanding and hands-on application of statistical analysis. - Preferred qualifications:
Demonstrated proficiency in structured technical problem-solving. - Preferred qualifications:
Demonstrated understanding of product design/circuit/architecture as relevant for yield analysis. - Preferred qualifications:
Demonstrated understanding of inline metrology capabilities as relevant for yield analysis.
Experienced Hire
Shift: Shift 1 (United States of America) Primary
Location:
US, New Mexico, Albuquerque Additional Locations:
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A
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