APTM Yield Analysis/Device Engineer

Intel; Albuquerque (NM); Hybrid; USD 122,440 - 232,190; Full time

Benefits offered by this job

Stock bonuses

Health insurance

Retirement plan

Paid time off

Job summary

Intel is seeking an experienced Yield Analysis engineer in the United States (Albuquerque, NM) to drive yield and defect improvements across the APTM packaging portfolio. The role involves analyzing large datasets, applying statistical methods, and collaborating with Process Engineering, QA, and Development teams to accelerate technology transfer and ramp to high-volume manufacturing.

The candidate should have a strong background in data analysis, inline metrology, and manufacturing processes,

Qualifications

• Bachelor's degree with 4+ years of relevant experience or Master's with 3+ years or PhD in a related discipline.
• 5+ 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 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.
• Develop an understanding of FIFA, DFT, Sort/Test, Integration/Process Flow, Datamining, Databases, Data manipulation, and Data visualization.

Skills

Data analysis

Statistical knowledge

Problem solving

Education

Bachelor's degree +4 years

Master's degree +3 years

PhD in related field

Tools

Python

JMP

Job description

Job Details

Advanced Packaging Technology and Manufacturing (APTM) Yield Group is looking for a Yield Analysis engineer to join our team tasked with driving yield and defect improvement across the 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 at hand. You will have access to extremely large datasets and the potential to become a technology expert.

Responsibilities

• 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, Datamining, 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.

Behavioral Traits & Leadership Skills

• Skills to work effectively across organizational boundaries.
• Tolerance of ambiguity and flexibility with respect to job roles and working hours.
• Demonstrated skills working in a high performing team culture which includes: excellent teamwork, demonstrated problem‑solving and prioritization skills.
• 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.
• A positive can‑do attitude.

Minimum Qualifications

• Possess a Bachelor's degree with 4+ years of relevant experience; OR a Master's degree with 3+ years of relevant experience; OR a PhD degree in Materials Science and Engineering or Mechanical Engineering or Computer Science or Information Systems or Chemical Engineering or Electrical Engineering or Chemistry or Physics or any other related discipline.
• 5+ years of experience in data analysis through JMP, Python, or other data engineering software.

Preferred Qualifications

• Understanding and hands‑on application of statistical analysis.
• Demonstrated proficiency in structured technical problem‑solving.
• Demonstrated understanding of product design/circuit/architecture as relevant for yield analysis.
• Demonstrated understanding of inline metrology capabilities as relevant for yield analysis.

Job Type and Location

Job Type: Experienced Hire

Shift: Shift 1 (United States of America)

Primary Location: US, New Mexico, Albuquerque

Additional Locations: N/A

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

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $122,440.00 - 232,190.00 USD.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on‑site at their assigned Intel site and off‑site.