Level

Intel

Yield Development Engineer

Intel is hiring a Yield Development Engineer. Level rates it ; you can apply on Level.

AI in this role

Yield Development Engineer analyzing complex data sets and applying machine learning techniques to enhance semiconductor manufacturing yield.

statistical-analysismachine-learningsemiconductor-manufacturingyield-engineeringdata-analysis
Job Details:

Job Description: 

The Role and Impact As a Yield Development Engineer, you will play a pivotal role in advancing technology node lifecycle and enhancing manufacturing yield performance. You will analyze complex data sets, develop methodologies, and collaborate across organizations to identify and resolve yield limiters. Your contributions will directly impact manufacturing process optimization, product quality, and Intel's ability to deliver cutting-edge solutions to the market. Business group The Intel Foundry group is dedicated to delivering innovative manufacturing solutions that enable industry-leading products and technologies. Focused on process development and yield enhancement, this team collaborates across design, test, and manufacturing domains to drive continuous improvement. By joining our team, you will contribute to shaping Intel's manufacturing capabilities and supporting our mission to deliver world-class semiconductor technologies. Key Responsibilities - Perform statistical analysis and create visualizations to identify yield limiters and construct accurate process development roadmaps. - Develop methods and systems to analyze big data sources, establishing optimal defect-mode understanding and yield modeling methodologies. - Analyze fab process, defect, and electrical data to detect anomalies and drive process changes for yield improvement. - Synthesize large volumes of data using statistics, machine learning, and coding techniques to extract actionable insights. - Collaborate across design, test, and manufacturing teams to debug yield limiters and implement process changes. - Conduct fault isolation and failure analyses using tools such as ATE testing, optical probing, circuit simulation, and emulation techniques. - Design measurement recipes for quick feedback on product integrity and implement solutions to address yield or quality issues. - Develop equipment and methodologies to support operational needs and enable leading-edge logic node capabilities.

Qualifications:

Minimum Qualifications - Bachelor's degree in a relevant field such as Electrical-Electronic Engineering, Microelectronic Engineering, or a related discipline with 0-1 years of hands-on experience in the domain, with demonstrated skills gained through internships, academic projects, coursework, or hands-on training OR a Master's degree in a relevant field with no prior professional experience. - Basic knowledge of semiconductor manufacturing processes or yield analytics. - Experience with electrical characterization processes. - Proficiency in defect detection tools and techniques. - Knowledge of failure analysis and fault isolation methods. Preferred Qualifications - Strong problem-solving and critical-thinking abilities. - Effective communication skills to collaborate across multidisciplinary teams. - Ability to work in a fast-paced, cross-functional environment. - A passion for learning and adapting in a fast-paced technical environment. Join us to make an impact as part of a collaborative, innovative team driving advancement in semiconductor technology.

          

Job Type:

College Grad

Shift:

Shift 1 (Malaysia)

Primary Location: 

Malaysia, Penang

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

Work Model for this Role

This role will require an on-site presence. * 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.

How we rate this

Yield Development Engineer at Intel rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Statistical AnalysisMachine learningSemiconductor ManufacturingYield EngineeringData Analysis

Questions you could be asked

  1. Tell me about a project where statistical analysis was part of your work. What did you do?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where semiconductor manufacturing was part of your work. What did you do?
  4. Tell me about a project where yield engineering was part of your work. What did you do?
  5. Tell me about a project where data analysis was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Statistical Analysis, Machine learning, Semiconductor Manufacturing, Yield Engineering, and Data Analysis. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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