Yield Development Engineer

Intel
United States
Workplace: HybridFull timeUSD 133,800 - 255,200 annuallyFunction: Product ManagementExperience: 4+ yearsSkills: ["Attention to detail","Cross-functional collaboration","Data-driven problem solving","Project management","Self-initiative"]

Drive semiconductor yield improvement across the full lifecycle of a technology node by performing statistical analysis, building yield models, and identifying defect modes. Develop multivariate algorithms and use machine learning to extract insights from structured and unstructured manufacturing data. Partner with process integration, defect engineering, and electrical fault isolation teams to debug yield detractors, support fault isolation, and improve manufacturability through process changes and new product introductions.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Intel
Intel
1 month ago

Yield Development Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Drive semiconductor yield improvement across the full lifecycle of a technology node by performing statistical analysis, building yield models, and identifying defect modes. Develop multivariate algorithms and use machine learning to extract insights from structured and unstructured manufacturing data. Partner with process integration, defect engineering, and electrical fault isolation teams to debug yield detractors, support fault isolation, and improve manufacturability through process changes and new product introductions.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Perform statistical analysis to create process development roadmaps and drive technology yield milestones.
  • •Analyze and consolidate diverse data sources to identify defect modes and develop yield models.
  • •Develop multivariate algorithms for high-volume data analysis to identify root-cause yield limiters.
  • •Use machine learning and advanced statistical methods to extract insights from structured and unstructured data.
  • •Collaborate with cross-functional teams to debug yield detractors, execute fault isolation and failure analysis, and support process optimization for new product introductions.

Pay and Benefits

Salary: USD 133,800 - 255,200 annually
Perks:Health InsuranceRetirementPaid LeaveEquity

Key Requirements

  • •Bachelor’s degree in Engineering, Physical Sciences, Computer Science, or related field plus 4+ years’ experience in semiconductor processing, semiconductor devices, or nanotechnology (or Master’s with 3+ years, or PhD).
  • •1+ years of experience with data analysis systems and machine learning techniques.
  • •1+ years of experience with optical probing or metrology.
  • •Expertise in Statistical Process Control (SPC) and Design of Experiments (DOE) principles.
  • •Experience applying fault isolation and failure analysis approaches (electrical testing, layout studies).
Experience:4+ yearsSemiconductorsNanotechnology
Education:
Skills:Attention to detailCross-functional collaborationData-driven problem solvingProject managementSelf-initiative
Tech Stack:Machine learningStatistical process control (SPC)Design of experiments (DOE)Optical probingMetrology

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
WebsiteLinkedInGlassdoor