Intel

Intel

Posted via Workday

Advanced Packaging Senior Yield Analysis

Apply by Nov 2, 2026

Posted Aug 5, 2026

Role at a glance

Salary
$164.5K – $232.2K/yr
Location
Albuquerque, New Mexico, United States
Work arrangement
Hybrid
Employment
Full-time
Experience
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...
Education
Bachelor's, Master's, PhD

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Role Summary

AI-generated

The Yield Analysis Engineer will work in Intel's Advanced Packaging Technology and Manufacturing Yield Group to drive yield and defect improvement across packaging technologies during technology development and high-volume manufacturing. The role analyzes large manufacturing datasets and partners with engineering and development groups to improve process, test content, and inline metrology performance.

What You'll Do

  • Extract insights from structured and unstructured data using statistical methods and machine learning techniques.
  • Develop solutions using manufacturing process knowledge, statistical knowledge, and problem-solving tools.
  • Drive recommendations and influence the yield improvement roadmap.
  • Prepare detailed, clear, and timely reports summarizing yield and device health.
  • Determine actions required to deliver Best in Class yield levels.
  • Work with upstream, downstream, and cross-functional partners to support technology development, transfer, and ramp into high-volume...

Generated from the employer's posting. Verify important details before applying.

View full posting

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 a listed engineering or science field; 3+ years of experience in data analysis through JMP, Python, or other data engineering software.

Required

  • Bachelor's, Master's, or PhD in Materials Science and Engineering, Mechanical Engineering, Computer Science, Information Systems,...
  • Relevant experience according to degree level: at least 6 years with a bachelor's degree, at least 4 years with a master's degree, or at...
  • 3+ years of experience in data analysis through JMP, Python, or other data engineering software

Preferred

  • In-depth 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

Original job description

Content provided by the employer

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 at hand. You will have access to extremely large datasets and the potential to become a technology expert.

Responsibilities will include:

  • 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

The candidate should also exhibit the following behavioral traits or/and 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 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.

Qualifications:

You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates

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.

  • 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:

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

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: $164,470.00-232,190.00 USD

 

 

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

 

 

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. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Intel

About the company

Intel

Large Enterprise

Intel Corporation is a global leader in computing innovation, renowned for its advanced semiconductor manufacturing and technology solutions. Founded in 1968, the company is primarily known for developing microprocessors that power a vast range of computing devices, from personal computers to data centers. With a strong commitment to research and development, Intel continuously drives advancements in artificial intelligence, cloud computing, and the Internet of Things (IoT), aiming to enhance connectivity and computing capabilities around the world. Intel's mission is to create technology that enhances lives and enables progress across various industries.