Process Integration and Yield Engineer

Intel
United States
Workplace: OnsiteFull timeUSD 130,866 - 170,630 annuallyFunction: Communications, PR & CommunityEducation: phdSkills: ["Cross-functional collaboration","Continuous improvement","Risk assessment","Problem-solving"]

Drive semiconductor yield and quality improvements by performing yield and failure analysis, identifying root causes, and implementing solutions that enhance product reliability. Use advanced statistical methods, machine learning, and data-mining techniques to extract actionable insights from structured and unstructured data. Develop methodologies for higher-quality, more efficient analysis and manufacturing processes, collaborate cross-functionally to resolve technical issues, and support technology transfer and risk-managed process changes for high-volume readiness.

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FursaFursa
Intel
Intel
1 month ago

Process Integration and Yield Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live
Reposted: similar role first listed 3 weeks ago

Job Summary

Drive semiconductor yield and quality improvements by performing yield and failure analysis, identifying root causes, and implementing solutions that enhance product reliability. Use advanced statistical methods, machine learning, and data-mining techniques to extract actionable insights from structured and unstructured data. Develop methodologies for higher-quality, more efficient analysis and manufacturing processes, collaborate cross-functionally to resolve technical issues, and support technology transfer and risk-managed process changes for high-volume readiness.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Communications, PR & Community

Key Responsibilities

  • •Conduct yield and failure analysis to identify root causes and implement solutions that enhance product yield and reliability.
  • •Analyze structured and unstructured data using advanced statistical methods, machine learning, and data mining to extract actionable insights.
  • •Develop and implement advanced methodologies to improve analysis quality, efficiency, and manufacturing processes.
  • •Collaborate with cross-functional teams (design, product engineering, manufacturing) to resolve complex technical challenges.
  • •Develop tools, algorithms, and systems for high-volume data analysis to identify critical process improvements and yield opportunities.

Pay and Benefits

Salary: USD 130,866 - 170,630 annually
Perks:Health InsuranceRetirementPaid LeaveEquity

Key Requirements

  • •PhD (or foreign equivalent) in Electrical/Electronic Engineering, Computer Engineering, Science, or another STEM-related field.
  • •Conduct yield and failure analysis to identify root causes and implement improvements to product yield and reliability.
  • •Analyze structured and unstructured data using advanced statistics, machine learning, and data mining to extract actionable insights.
  • •Develop and implement advanced methodologies to improve the quality and efficiency of analysis and manufacturing processes.
  • •Collaborate cross-functionally (design, product engineering, manufacturing) to resolve complex technical challenges.
Education:PhD / Doctorate
Skills:Cross-functional collaborationContinuous improvementRisk assessmentProblem-solving
Tech Stack:Statistical methodsMachine learningData miningAlgorithmsData analysisInspection and testing

Company Brief

Intel
Designs and manufactures semiconductor chips, processors, and related hardware for PCs, data centers, networking, and embedded applications, while providing software and services to accelerate computing across industries globally.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1968
Glassdoor
Glassdoor: 3.8
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