Feng Bin Frank Sun

• Manage Tesla vehicle Design for Reliability (DFR) group. • Be the in-house expert of reliability engineering and statistical analysis. • In charge of company wide ongoing reliability test (ORT) program for critical components, subsystems, and systems for Tesla Model S/X and Model 3. • Be the person-to-go for Burn-in and Environmental Stress screening (ESS) design and quantification. • Conduct ongoing reliability training for Tesla University at various depths and provided consultancy and mentor-ship for engineers both inside and outside reliability community. • Develop and promote best practices for product life-cycle reliability including design for reliability (DFR), design for maintainability (DFM), step-stress testing (SST), accelerated degradation testing (ADT), reliability growth, and post-production reliability monitoring, parametric ORT. • Develop procedures and whitepapers on reliability methodologies and algorithms for reliability design, test design and planning, data analysis, risk assessment, and warranty forecasting. • Provide technical support in reliability to other Tesla business units including Tesla Energy (Powerwall & Powerpack) for reliability validation test (RVT), ongoing reliability test (ORT), and warranty forecast.

• Work as a senior HDD reliability expert by developing reliability related procedures, technical whitepapers, and best practices as general guidelines for the whole company. • Provide guidelines and consultancies for company wide reliability modeling, test design, planning, data analysis, and interpretation. • Lead company-wide 5-year reliable life initiative: a Design for Reliability (DfR) endeavor toward product long-term reliability. • Create and craft innovative and effective ideas and methodologies for reliability analysis, modeling, testing, and prediction. • Provide guidance and support on analytical reliability design, test, and analysis for New Technologies development and introduction: Helium-Filled Technology; SSD; Cloud Product. • Establish the fundamental understanding and analytical modeling of HDD/SSD field usage impact on product reliability to support product design, stress acceleration factor determination, and reliability prediction. • Define specification and develop procedures and whitepapers to standardize reliability related practices and methodologies, including testing and quantification. • Provide ongoing analytical support on various product risk assessments for both external and internal customers. • Provide customer presentations, on behalf of HGST Reliability and per request, on HGST reliability philosophy, strategy, testing, modeling and analysis methodologies, correlation between internal test and customer field, and special (complex) risk assessments, etc. • Provide company wide education, onsite training, and mentoring/tutoring on reliability engineering, statistical data analysis, life test design, modeling, and assessment.

• Managed (acting ) the Advanced Reliability Engineering on Reliability Testing, Test Software Development, and Advanced Reliability Study and Data Analysis • Developed and Maintained WD Reliability Test Procedures/Whitepapers for Various Reliability Tests including RDT/ORT/BEST/ELT, etc. • Engaged with Key OEM Customers Directly and Indirectly on WD Reliability Philosophy, Processes, Test Methods, and Quantification Algorithms; Provided Ongoing Reliability Assessment Support • Worked with Numerous Engineering Departments on Design and Component (such as Heads, Media, FDB, DSA, SSD, Display, Mechanical, PCBA, etc.) Reliability • Conducted Numerous Advanced Studies, such as HDD Long-Term Storage Reliability, Temperature Effects on HDD Reliability, Bayesian Prediction Method for Customer Integration DPPM based on WD FQA Test Results, Time to Reach Steady-State for HDD Field Failure Rate, HDD Weibull Shape Pattern Analysis, etc. • Established a Parametric Ongoing Reliability Testing (PORT) Evaluation System, Developed Virtual Failure Concept, Quantification Algorithm, and Provided Training • Established Algorithm, Alert Limits, and Minimum Sample Size Requirement for Reliability Prediction from Key HDD Components to HDD System Level based on Supplier Reliability Test Data • Lead the Team in Developing and Automating Numerous Reliability Assessment Tools, including (1) Reliability Risk Assessment Tool (based on RDT/ORT/BEST Data); (2) MTTF-AFR Prediction Spectrum in Terms of Temp and Functional Duty Cycle; (3) PORT Quantification and Report Generation; (4) Reliability Life Test Planning; (5) Supplier Data Based Component-to-System Reliability Prediction • Conducted Reliability Modeling and Prediction, Accelerated Stress/Life Test Planning and Analysis, Risk Assessment, Reliability Growth, RDT/BEST/ORT Modeling and Planning • Conducted DOE, 6-Sigma Project Management, and Company-wide Quality/Reliability Statistical Consulting and Training

• Network Storage Reliability: Reliability & Availability Modeling and Prediction for Data Storage System with Redundancy and Fault Tolerance; Quality and Reliability Spec (DPPM/MTBF/AFR) Definition and Determination; RDT/HALT(HAST)/ORT Test Procedure Development, Reliability Assessment and Reporting; Field Reliability Performance Tracking and Risk Assessment; FRU Spare Prediction. • GMR Head Reliability Assessment: Stress-Life Modeling & Accelerated Life Testing Analysis; Verification of Historical Analysis Results of Various Programs by Longmont and Cottonwood Sites using the Black and Arrhenius Models; Development of Standard Analysis Tool (ALTA) and Data Analysis Procedure. • Micro-Actuator Reliability Assessment: Identification of the Potential Failure Mechanisms and Determination of the Failure Governing Stresses & Attributing Factors, Accelerated Stress Tests, Stress Levels, Test Duration, Sample Size, Performance Monitoring, and Failure Criteria. • Printed Media (PM) Reliability Assessment: Wear Cycle Effects Analysis on the Printed Media Surface Defect Counts for the PM Product; Head Failure Probability Comparison between Two Programs (one with PM and one without PM) and among Heads within Each Product. • Field Risk Assessment: Failure Probability Prediction of Particular Failure Modes for Various Hard Disk Drive Programs.

• Hard Disk Drive Reliability Program Development and Enhancement • Accelerated Reliability Demonstration and Growth during Early Stage of New Technology Introduction • DOE, Statistical Modeling, and Analysis of Both Component and System Level Life Testing • Statistical Planning, Quantification Procedure, and Reliability Assessment of RDT • Development of IDEMA Reliability Standard and Field ARR/AFR Whitepaper • Customer Risk Assessment of Specific Failure Mechanisms based on Lab and/or Field Data • Key Member of Quantum’s QMRT-XRT Initiative that Saved the Company Million Dollars Yearly; Developed Conditional Reliability Monitoring Algorithm and Tool for Post-Production QMRT and XRT • Optimum Burn-in and Stress Screening Time Determination for DLT Tape Drives • Accelerated Stress/Life Test Modeling, Algorithm, Software (ALTA) Development, and Applications • Corporate Consulting and Training in Reliability Engineering, Statistics and Weibull Applications