Process Integration Development Engineer

Intel
United States
Workplace: OnsiteFull timeUSD 120,860 - 170,630 annuallyFunction: Communications, PR & CommunityExperience: 4+ yearsEducation: mastersSkills: ["Communication","Collaboration","Continuous learning","Process improvement","Proactive problem-solving"]

Work on transmission electron microscopy (TEM) metrology data generation and analysis to support semiconductor manufacturing process development. Build and improve automated TEM metrology methods and infrastructure, perform statistical and image-based data mining, and develop end-to-end data processing pipelines. Collaborate across tool operation, metrology development, and manufacturing process teams, communicating technical findings and reliability risks to stakeholders while continuously upgrading your skills.

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Intel
Intel
4 days ago

Process Integration Development Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Work on transmission electron microscopy (TEM) metrology data generation and analysis to support semiconductor manufacturing process development. Build and improve automated TEM metrology methods and infrastructure, perform statistical and image-based data mining, and develop end-to-end data processing pipelines. Collaborate across tool operation, metrology development, and manufacturing process teams, communicating technical findings and reliability risks to stakeholders while continuously upgrading your skills.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Communications, PR & Community
Seniority: Mid level

Key Responsibilities

  • •Generate and analyze TEM metrology data to support manufacturing process development and yield improvement.
  • •Develop and upgrade automated TEM metrology method development infrastructure and interfaces.
  • •Mine and process dimensional data from images, including image processing and data filtering as part of automation pipelines.
  • •Collaborate cross-functionally with tool operation teams, automated metrology engineers, and manufacturing process engineering organizations.
  • •Communicate technical findings and reliability risks clearly and concisely to stakeholders.

Pay and Benefits

Salary: USD 120,860 - 170,630 annually
Equity and Bonus:Equity
Perks:Health InsuranceRetirementPaid Leave

Key Requirements

  • •Master's degree in Materials Science, Chemical Engineering, Mechanical Engineering, Electrical Engineering, or a related technical field.
  • •4+ years of industry/technical experience with semiconductor manufacturing processes or high-volume manufacturing statistical analysis, including DOE and SPC.
  • •Strong analytical and problem-solving skills to identify trends and investigate root causes to support engineering decisions.
  • •Experience using Python, SQL, Power BI, and Tableau to analyze manufacturing or engineering data.
  • •Experience with automated metrology method development, building infrastructure/interfaces, and developing automated data processing (including image processing and dimensional data mining).
Experience:4+ yearsSemiconductor manufacturingMetrologyData analyticsComputer vision
Education:Master's in Materials Science, Chemical Engineering, Mechanical Engineering, Electrical Engineering (or related technical field)
Skills:CommunicationCollaborationContinuous learningProcess improvementProactive problem-solving
Tech Stack:PythonSQLPower BITableauOpenCVGitREST APIsMachine learningPredictive analyticsComputer visionAI

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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