Sr. Yield Engineer, Sort, Terafab

Tesla

📍Austin, TX
Posted May 26, 2026

Job Overview

Position

Sr. Yield Engineer, Sort, Terafab

Company

Tesla

Location

Austin, TX

Work Type

On-site

Job ID

li-4419109981

Job Description

What To Expect
We are building Terafab, a vertically integrated semiconductor factory at an unprecedented scale. The facility houses logic, memory, packaging, test, and lithography mask production under one roof, optimized for rapid iteration and maximum compute density per square foot.

Yield is the ultimate scorecard of a fab. As a Yield engineer at Terafab, you will build the data infrastructure, defect learning systems, and metrology strategy that drives Terafab chip manufacturing to world-class yield levels. You will connect electrical test data, inline defect inspection, physical failure analysis, and process signals to identify and eliminate the systematic yield limiters that determine Terafab's viability.

What You'll Do

  • Build Terafab's yield learning infrastructure from the ground up: defect inspection sampling plans, inline metrology flows, and electrical test correlation frameworks


  • Design and implement intelligent wafer sort strategies (e.g., multi-pass testing, binning logic, screening criteria) to maximize throughput while minimizing false rejects and ensuring product reliability


  • Optimize test patterns and test time based on yield trends, defect distributions, and product reliability requirements


  • Lead systematic yield analysis using defect pareto, binning analysis, parametric correlation, and spatial signature decomposition


  • Drive defect reduction programs across all yield-limiting defect types such as particles, pattern defects, etch residues, shorts, and opens


  • Partner with process, equipment, and integration engineers to close the loop between yield data and corrective actions


  • Develop automated data pipelines, yield dashboards, and early warning systems using Python, SQL, and internal data tooling


  • Lead physical failure analysis (PFA) including FIB/SEM cross-sections, EBAC, and TEM sample preparation


  • Build die-level yield models and simulation capabilities to project yield at scale and prioritize defect investment


What You'll Bring
  • Degree in Electrical Engineering, Physics, Materials Science, or equivalent experience


  • 5+ years of yield engineering or metrology engineering experience in a leading-edge semiconductor fab


  • Strong proficiency in yield analysis: defect pareto, spatial analysis, electrical bin correlation, and parametric yield modeling


  • Experience with defect inspection and review tools (KLA, Camtek) and defect classification systems


  • Experience building yield learning systems from scratch in a greenfield fab environment


  • Experience in ML/AI-based defect classification or yield prediction modeling


  • Solid programming skills in Python or R for data analysis, visualization, and process control automation


  • Familiarity with wafer sort, electrical test structures, and EDS analysis for yield learning


  • Familiarity with FIB/SEM sample preparation and advanced PFA techniques


Benefits
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Medical plans > plan options with $0 payroll deduction


  • Family-building, fertility, adoption and surrogacy benefits


  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution


  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA


  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)


  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits


  • Company paid Basic Life, AD&D


  • Short-term and long-term disability insurance (90 day waiting period)


  • Employee Assistance Program


  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays


  • Back-up childcare and parenting support resources


  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance


  • Weight Loss and Tobacco Cessation Programs


  • Tesla Babies program


  • Commuter benefits


  • Employee discounts and perks program


, Tesla

Interview Prep

AI-powered insights to help you prepare

Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How would you approach designing a wafer sort strategy for a new product in a greenfield fab to balance throughput, false rejects, and reliability?
  • 2.Can you explain your methodology for correlating inline defect inspection data with electrical test bin failures to identify a systematic yield limiter?
  • 3.Describe how you would build an automated early warning system for yield excursions using Python and SQL.
🎯Behavioral Questions (3)
  • 1.Tell me about a time you had to build a yield learning system or data infrastructure from scratch in a highly ambiguous or greenfield environment.
  • 2.Describe a situation where you had to close the loop between yield data and a corrective action with a resistant process or equipment engineering team.
  • 3.Give an example of a time you led a physical failure analysis (PFA) effort that successfully identified a complex defect mechanism.
🧩Situational Questions (2)
  • 1.You notice a new spatial signature on your defect inspection maps that correlates with a slight drop in yield, but it falls below the traditional SPC alarm limits. What do you do?
  • 2.You are tasked with reducing the test time at wafer sort by 20% without increasing reliability escapes on a high-volume product. How do you approach this?

Resume Keywords

Make sure these keywords appear on your resume

Yield EngineeringWafer SortDefect InspectionKLAPhysical Failure AnalysisFIB/SEMPythonSQLSpatial SignatureGreenfield FabBinning AnalysisMetrology

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