Careers at Western Digital

ESSENTIAL DUTIES AND RESPONSIBILITIES Perform wafer paper failure analysis (FA) and provide disposition for issues flagged by customers. Facilitate wafer manufacturing readiness review (MRR) and process design readiness (PDR) review meetings. Drive 8D closure with corrective action and preventive action (CAPA) implementations to prevent reoccurrence Failure Mode & Effects Analysis (FMEA): Lead and facilitate FMEA activities across wafer fab to proactively identify, assess, and mitigate potential failure modes and their impact on quality and reliability. Partner with process, equipment, manufacturing, and data engineering teams to implement automated quality surveillance and anomaly detection solutions. Drive digitalization initiatives that improve CAPA effectiveness, root cause identification, and risk assessment processes. Evaluate and integrate generative AI and digital agent technologies to enhance engineering productivity, knowledge management, and quality decision-making. Drive adoption of AI-powered quality engineering tools to increase engineering productivity, accelerate defect detection cycle times, and transition the organization from reactive quality management to predictive quality — anticipating and preventing excursions before they impact yield or customer deliverables. Participate in developing and deploying AI-assisted quality monitoring solutions for Change Review Board (CRB), Material Review Board (MRB), Failure Analysis (FA), and FMEA activities. REQUIRED Bachelor's degree in Engineering, Material Science, Physics, Data Sciences or a related technical field (Master's preferred) 3+ years of experience in quality assurance, quality engineering, or a related role within semiconductor or wafer manufacturing Strong problem-solving and root-cause-analysis skills. Ability to analyze datasets and interpret statistical/model-performance results. Experience working with AI/ML or generative AI systems a plus. Familiarity with FMEA methodology and its application to IT and manufacturing systems Basic understanding of wafer product, including HAMR and knowledgeable of SPC, wafer process build, interconnection between process, equipment, manufacturing, backend a plus Strong cross-functional collaboration skills with the ability to engage both technical and operations teams Excellent analytical and problem-solving skills with a detail-oriented mindset ADDITIONAL SKILLS Experience with end-to-end quality management in semiconductor manufacturing Experience developing or utilizing AI-enabled quality monitoring and reporting systems. Knowledge of Generative AI, Large Language Models (LLMs), Copilot technologies, or Digital Agents for engineering workflows. Strong data storytelling and visualization skills to communicate complex technical findings to engineering and management teams. Continuous improvement mindset with the ability to identify opportunities for automation and digital transformation. WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the " Know Your Rights: Workplace Discrimination is Illegal ” poster. Our pay transparency policy is available here . WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 12/28/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #L1-RR1 Compensation & Benefits Details An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. You will be eligible to be considered for bonuses under either WD’s Short Term Incentive Plan (“STI Plan”) or the Sales Incentive Plan (“SIP”) which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to WD's Standard Terms and Conditions for Restricted Stock Unit Awards. We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the WD Savings 401(k) Plan. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com .

ESSENTIAL DUTIES AND RESPONSIBILITIES Perform wafer paper failure analysis (FA) and provide disposition for issues flagged by customers. Facilitate wafer manufacturing readiness review (MRR) and process design readiness (PDR) review meetings. Drive 8D closure with corrective action and preventive action (CAPA) implementations to prevent reoccurrence Failure Mode & Effects Analysis (FMEA): Lead and facilitate FMEA activities across wafer fab to proactively identify, assess, and mitigate potential failure modes and their impact on quality and reliability. Partner with process, equipment, manufacturing, and data engineering teams to implement automated quality surveillance and anomaly detection solutions. Drive digitalization initiatives that improve CAPA effectiveness, root cause identification, and risk assessment processes. Evaluate and integrate generative AI and digital agent technologies to enhance engineering productivity, knowledge management, and quality decision-making. Drive adoption of AI-powered quality engineering tools to increase engineering productivity, accelerate defect detection cycle times, and transition the organization from reactive quality management to predictive quality — anticipating and preventing excursions before they impact yield or customer deliverables. Participate in developing and deploying AI-assisted quality monitoring solutions for Change Review Board (CRB), Material Review Board (MRB), Failure Analysis (FA), and FMEA activities. REQUIRED Bachelor's degree in Engineering, Material Science, Physics, Data Sciences or a related technical field (Master's preferred) 3+ years of experience in quality assurance, quality engineering, or a related role within semiconductor or wafer manufacturing Strong problem-solving and root-cause-analysis skills. Ability to analyze datasets and interpret statistical/model-performance results. Experience working with AI/ML or generative AI systems a plus. Familiarity with FMEA methodology and its application to IT and manufacturing systems Basic understanding of wafer product, including HAMR and knowledgeable of SPC, wafer process build, interconnection between process, equipment, manufacturing, backend a plus Strong cross-functional collaboration skills with the ability to engage both technical and operations teams Excellent analytical and problem-solving skills with a detail-oriented mindset ADDITIONAL SKILLS Experience with end-to-end quality management in semiconductor manufacturing Experience developing or utilizing AI-enabled quality monitoring and reporting systems. Knowledge of Generative AI, Large Language Models (LLMs), Copilot technologies, or Digital Agents for engineering workflows. Strong data storytelling and visualization skills to communicate complex technical findings to engineering and management teams. Continuous improvement mindset with the ability to identify opportunities for automation and digital transformation. WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the " Know Your Rights: Workplace Discrimination is Illegal ” poster. Our pay transparency policy is available here . WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 12/11/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #L1-RR1 Compensation & Benefits Details An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. You will be eligible to be considered for bonuses under either WD’s Short Term Incentive Plan (“STI Plan”) or the Sales Incentive Plan (“SIP”) which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to WD's Standard Terms and Conditions for Restricted Stock Unit Awards. We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the WD Savings 401(k) Plan. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com .

Job Summary The Equipment Engineer is responsible for supporting and optimizing the substrate manufacturing equipment and Automation implementation/Integration. This role combines hands-on Equipment ownership and operational excellence with applied engineering analysis, ensuring consistent equipment stability, product quality, yield improvement, and Capacity Improvement and OEE. The engineer will also contribute to data-driven research and improvement initiatives to advance equipment capability. ESSENTIAL DUTIES AND RESPONSIBILITIES: Collaborate with engineering teams to identify opportunities for automation improvements. Assist in designing, testing, and implementing automation solutions, including hardware and software components. Support the integration of control systems, sensors, actuators, and programmable logic controllers (PLCs) to optimize performance. Document project progress, technical specifications, and outcomes for future reference and compliance. Stay updated on emerging automation technologies and contribute innovative ideas to improve system capabilities. Deliver Factory/Equipment digitalization solution and IIOT proliferation. REQUIRED: Bachelor's Degree in Mechatronics Engineering / Electrical & Electronics Engineering. Candidates from Computer Science with exposure and interest in Hardware and encouraged to apply. Proficiency in SolidWorks , or equivalent engineering software will be added advantage. Programming skills: C++ , Python, SQL, PLC will be added advantage. Knowledge in Communication Protocol, Hardware Software Interface, Analog/Digital signal processing will be added advantage. Experience in technical report writing , field data collection, equipment condition assessment and Digital Twin. Strong problem-solving skills with attention to detail in operational environments WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the " Know Your Rights: Workplace Discrimination is Illegal ” poster. Our pay transparency policy is available HERE WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com .

Grow your career with us and help shape the future of embedded firmware for next gen enterprise HDD storage products. In this role, you will be working alongside a dynamic, cross-functional team to create innovative firmware solutions. You will also get hands-on experience with industry-standard technologies like SAS, SATA, PCIe and be part of Agile teams to bring cutting-edge technology to life. ESSENTIAL DUTIES AND RESPONSIBILITIES: Design, develop, test, integrate and maintain quality firmware for eHDD using best practices like unit test, CI and Agile methodologies. Design and implementation of data structures, software algorithms, data path, and drivers for hardware cores using latest standards C++ and Python. Participate in Scrum & Agile processes to bring up new hardware and develop embedded firmware for data storage products. Collaborate and design solutions for challenging yet unique problems across hardware and software platforms, including servers, RAID, and various operating systems (Windows and Linux). Participate in planning and coordinating significant technical investigations from problem statements to conclusions. Creates design documents pertinent to the various phases of firmware development. REQUIRED: Bachelor’s or Master’s degree in Computer/Electronics Engineering, Computer Science or equivalent. Fresh graduates are encouraged to apply. Knowledge in C/C++, object-oriented programming, Python, data structures and algorithms. Capable of quickly learning new firmware, hardware, systems, tools, and methodologies. PREFERRED: Familiarity with micro-controller architecture (ARM or ARC), embedded systems and RTOS desired. Knowledge of SAS, SATA and PCIE interface. Experience in the use of bus analyzers, emulators and other firmware debugging tools is a plus. Possess data analytics skillset such as machine learning. Working experience in a Scrum team or understanding of Agile practices would be an added advantage. SKILLS: Ability to effectively manage projects and tasks to deliver deadlines and commitments. You have strong problem-solving skills and solution-focused with an adaptive mindset. You have excellent interpersonal skills, including written and verbal communication. You are comfortable and enjoy working in a dynamic and ever-evolving environment. You are a collaborative team member who embraces challenges and values shared successes. #LI-KT1 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com .

Grow your career with us and help shape the future of embedded firmware for next gen enterprise HDD storage products. In this role, you will be working alongside a dynamic, cross-functional team to create innovative firmware solutions. You will also get hands-on experience with industry-standard technologies like SAS, SATA, PCIe and be part of Agile teams to bring cutting-edge technology to life. ESSENTIAL DUTIES AND RESPONSIBILITIES: Design, develop, test, integrate and maintain quality firmware for eHDD using best practices like unit test, CI and Agile methodologies. Design and implementation of data structures, software algorithms, data path, and drivers for hardware cores using latest standards C++ and Python. Participate in Scrum & Agile processes to bring up new hardware and develop embedded firmware for data storage products. Collaborate and design solutions for challenging yet unique problems across hardware and software platforms, including servers, RAID, and various operating systems (Windows and Linux). Participate in planning and coordinating significant technical investigations from problem statements to conclusions. Creates design documents pertinent to the various phases of firmware development. REQUIRED: Bachelor’s or Master’s degree in Computer/Electronics Engineering, Computer Science or equivalent. Fresh graduates are encouraged to apply. Knowledge in C/C++, object-oriented programming, Python, data structures and algorithms. Capable of quickly learning new firmware, hardware, systems, tools, and methodologies. PREFERRED: Familiarity with micro-controller architecture (ARM or ARC), embedded systems and RTOS desired. Knowledge of SAS, SATA and PCIE interface. Experience in the use of bus analyzers, emulators and other firmware debugging tools is a plus. Possess data analytics skillset such as machine learning. Working experience in a Scrum team or understanding of Agile practices would be an added advantage. SKILLS: Ability to effectively manage projects and tasks to deliver deadlines and commitments. You have strong problem-solving skills and solution-focused with an adaptive mindset. You have excellent interpersonal skills, including written and verbal communication. You are comfortable and enjoy working in a dynamic and ever-evolving environment. You are a collaborative team member who embraces challenges and values shared successes. #LI-KT1 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com .

ESSENTIAL DUTIES AND RESPONSIBILITIES: Design, develop, test, integrate and maintain quality firmware for eHDD using best practices like unit test, CI and Agile methodologies. Design and implementation of data structures, software algorithms, data path, and drivers for hardware cores using latest standards C++ and Python. Participate in Scrum & Agile processes to bring up new hardware and develop embedded firmware for data storage products. Collaborate and design solutions for challenging yet unique problems across hardware and software platforms, including servers, RAID, and various operating systems (Windows and Linux). Participate in planning and coordinating significant technical investigations from problem statements to conclusions. Creates design documents pertinent to the various phases of firmware development. REQUIRED: Bachelor’s or Master’s degree in Computer/Electronics Engineering, Computer Science or equivalent. Fresh graduates are encouraged to apply. Knowledge in C/C++, object-oriented programming, Python, data structures and algorithms. Capable of quickly learning new firmware, hardware, systems, tools, and methodologies. PREFERRED: Familiarity with micro-controller architecture (ARM or ARC), embedded systems and RTOS desired. Knowledge of SAS, SATA and PCIE interface. Experience in the use of bus analyzers, emulators and other firmware debugging tools is a plus. Possess data analytics skillset such as machine learning. Working experience in a Scrum team or understanding of Agile practices would be an added advantage. SKILLS: Ability to effectively manage projects and tasks to deliver deadlines and commitments. You have strong problem-solving skills and solution-focused with an adaptive mindset. You have excellent interpersonal skills, including written and verbal communication. You are comfortable and enjoy working in a dynamic and ever-evolving environment. You are a collaborative team member who embraces challenges and values shared successes. #LI-KT1 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com .

About This Role — The Mission You will be one of the engineers on a focused AI team solving hard scientific problems in precision product development. You will own two real responsibilities from day one — not toy tasks, but actual team workflow contributions that senior engineers depend on. You will be introduced to physics-informed AI, Bayesian methods, and product development ML systems within your first year under direct mentorship from engineers and researchers who have worked at world-class institutions. If you are the kind of person who learns fast and wants to be in the middle of hard problems early in your career, this is an unusual opportunity. Key Responsibilities Experiment Tracking & Evaluation Reporting: Own MLflow experiment logging for assigned team model runs; conduct model evaluations using standard metrics; produce structured evaluation reports reviewed by team. Your reports directly inform model iteration decisions. Training Data Quality Validation: Validate training datasets jointly with team — feature distribution checks, label verification, anomaly flagging. Your quality flags are the final check before data enters the model training pipeline. You close the data quality loop between workstreams. Deep Learning Model Contribution: Build and train CNN-based models for image classification and defect detection under team’s guidance. Contribute to model evaluation cycles, configuration comparisons, and training run analysis. ML Pipeline Contribution: Package models in Docker; contribute to CI/CD scripts under guidance; run inference tests and support deployment validation in product development environments. Requirements Education: Bachelor's or Master's degree in AI, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or related field. AI major or strong research focus in degree strongly preferred. Experience: Fresh graduate to 1 year. Work experience not required — demonstrated ML project competency is the primary criterion. Strong final-year project or thesis with a clear ML component; research internship preferred. Must Have Skill: Python: Strong proficiency — clean, readable ML code; NumPy/Pandas basics PyTorch: Foundational — build, train, and evaluate a basic neural network independently from scratch CNN Architecture Basics: Understand and implement a basic image classifier; conceptual understanding of convolutional layers Surrogate Modeling Concepts: Why data-efficient ML matters in limited-data scientific settings Active Learning Awareness: Conceptual understanding of uncertainty-guided data selection MLflow Basics: Log experiments, parameters, and metrics for a training run Docker Basics: Write a Dockerfile to containerize a Python/ML application Model Evaluation: Standard metrics; produce a structured evaluation report Learning Mindset: Self-directed learning outside coursework; evidence of picking up new concepts quickly. Good-to-Have Skill: U-Net or ViT exposure — academic project or course sufficient Uncertainty quantification basics — Monte Carlo dropout, ensemble methods Bayesian methods introduction — any probabilistic ML course or project Time-series or sensor data — any project with sequential or temporal data RL introduction — any RL course or gym environment experiment RAG basics, any LLM project AWS fundamentals; entry-level cloud ML deployment #LI-FN1 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com . WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com .

About This Role — The Mission Precision product development is one of the last frontiers where AI has not yet been systematically deployed at the physics level. We are changing that. As the ML Technical Lead on this team, you will be the person who makes physics-informed AI work in product development — not as a research prototype, but as a deployed system that drives real engineering decisions. If that is the kind of problem you want to work on, we want to talk to you. Key Responsibilities Deep Learning Systems Architecture & Ownership : Design and own CNN, U-Net, and ViT systems for precision inspection, measurement, and defect classification. Own real-time anomaly detection from sensor and time-series product development data streams. Highest day-to-day output responsibility. Physics-Informed AI & Surrogate Modeling: Validate and deploy PINNs methodology originated by the ARS — own product development implementation, physics-constraint validation against engineering requirements, and surrogate model pipelines. You are the product development -side authority; the ARS designs the methodology; you validate and deploy it to real product development systems. Active Learning Pipeline Architecture: Architect active learning pipelines and Bayesian experimental design frameworks — integrating ARS-designed acquisition functions with DE-supplied feature data and laboratory scheduling systems. This workstream directly reduces physical experiment cost. MLOps Platform Ownership: Own the full ML platform: MLflow, Docker, AWS EKS/Kubernetes, LLM Gateway (LangFuse/PortKey), CI/CD, observability, and model monitoring. Architect the platform; delegate maintenance to team once stable. Technical Direction & Team Architecture: Lead design reviews and code reviews; provide technical direction to team; define data interface contracts with the DE; partner with domain scientists from problem definition through deployment; mentor junior team members. Requirements Education Bachelor's or Master's degree in Artificial Intelligence, Machine Learning, Computer Science, or related field. AI major or strong AI research focus preferred. Equivalent depth demonstrated through open-source contributions, or significant GitHub portfolio will be considered. Experience Minimum 3-5 years of hands-on technical experience Demonstrated technical ownership of AI systems from design to product development deployment. Proven direction of a small ML or AI engineering team —clear technical leadership with evidence of design reviews, mentoring, and cross-functional delivery. Track record of shipping ML models into product development. Experience in materials science, semiconductor, precision product development, or equivalent scientific/industrial AI is a strong differentiator. Significant open-source ML contributions, public technical writing, or a documented GitHub portfolio demonstrating scientific ML or product development ML engineering depth will be evaluated alongside work experience records. Must have Skills: Python: Expert-level proficiency - Primary language for all ML System work PyTorch: Expert - Custom loss functions, full training loop ownership Computer Vision: CNN, U-Net, ViT — full architecture range for inspection, defect detection, and measurement Anomaly Detection: Real-time anomaly detection from sensor and time-series product development data streams Surrogate Modeling: Data-efficient ML in limited-data scientific regimes; end-to-end pipeline ownership Active Learning & Bayesian Experimental Design: Acquisition function pipelines; laboratory scheduling and instrument control integration Product Development MLOps: MLflow, Docker, AWS EKS, Observability Platforms like LangFuse, PortKey or other LLM Gateways) Good-to-Have Skills: PINNs: Validate ARS-originated designs; own physics-constrained product development models. Reinforcement Learning: RAG / GraphRAG — retrieval-augmented generation pipeline ownership LangFuse / PortKey — LLM Gateway and agent observability RLHF & reward modeling — domain expert feedback integration AWS · LLM Finetuning (LoRA, QLoRA) · LLM Distillation #LI-FN1 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com . WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com .

About This Role — The Mission Most ML engineering roles at large companies mean contributing to a platform team where your work disappears into a pipeline that fifty other engineers also touch. This role is different. You will be the primary owner of the ML systems that detect product development defects, model material behavior with limited data, and select the highest-value experiments from an active learning pipeline. Your models will run in product development. Your decisions will matter immediately. Key Responsibilities Deep Learning Model Implementation & Product Development Ownership: Build, train, evaluate, and maintain CNN/U-Net/ViT models for automated inspection and measurement. Own model performance end-to-end — ablation studies, confidence calibration, product development performance monitoring. Anomaly Detection Systems: Build and maintain real-time anomaly detection for product development sensor and time-series data streams — statistical baseline, threshold calibration, drift alerting. Sole implementation owner for this workstream. Surrogate Modeling & Active Learning Operations: Own implementation and iteration of surrogate model pipelines and active learning systems under Technical lead’s architectural direction. Configure acquisition functions; integrate with versioned feature sets. Data-to-Model Interface Ownership: Own the data contract between the Data Engineer and the ML model stack. Define feature specifications, validate datasets against model input requirements, and escalate data quality issues before they reach the training pipeline. MLOps Maintenance & Product Development Reliability: Maintain model versions, training pipelines, and containers under platform architecture. MLflow tracking, CI/CD contribution, product development monitoring, and degradation escalation. Junior Mentorship & Documentation: Provide code review guidance to team; document model design decisions and evaluation outcomes to production-handoff standard. Requirements Education: Bachelor's or Master's degree in AI, Machine Learning, Computer Science, or related field. AI major or strong AI research focus preferred. Experience: 1–3 years of hands-on ML engineering experience, or equivalent depth demonstrated through internships, academic research, or open-source contributions. Must show component-level technical ownership within an end-to-end ML pipeline (training through deployment) — not just execution under direction. Kaggle rankings, arXiv preprints, or significant open-source ML contributions are valued as evidence of depth. Must have Skills: Python: Strong proficiency — primary ML development language PyTorch: Proficient → Expert — independent model training and evaluation Computer Vision: Strong foundation in CNNs, plus hands-on depth in at least one of: U-Net/segmentation, ViT/transformer-based vision, or time-series anomaly detection. Candidates with depth across multiple areas (e.g. full inspection-scope coverage — segmentation, transformer vision, and anomaly detection together) will be considered for the higher end of the band. Surrogate Modeling: Implement and iterate surrogate pipelines under P110 architectural guidance Active Learning: Configure acquisition functions; uncertainty-guided experiment scheduling Data-to-Model Interface: Define feature specs; validate incoming datasets against model requirements; flag data quality issues before training Practical MLOps: MLflow, Docker, Git, basic CI/CD contribution Model Evaluation & Uncertainty Analysis: Ablation studies, confidence calibration, validation methodology Technical Documentation: Model design decisions and evaluation results to production-handoff standard Good to have Skills: PINNs implementation under technical guidance Bayesian methods — Bayesian neural networks, Gaussian processes, ensemble uncertainty, calibration Reinforcement learning basics — gym environments, policy gradient concepts AWS fundamentals — S3, EC2, SageMaker basics; entry-level cloud ML deployment RAG pipeline fundamentals #LI-FN1 WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com . WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com .

The Senior Quality Manager, Quality Assurance Engineering, is responsible for leading and aligning Quality Assurance objectives across the Johor and Sarawak Substrate manufacturing sites. This role ensures effective execution of manufacturing quality strategies, drives continuous quality improvement initiatives, and oversees the effectiveness of quality-related process controls and approvals. The position also serves as the Quality Management Representative (QMR), ensuring compliance with company policies, regulatory requirements, and applicable management systems. The role supports product quality, environmental, safety & health (ESH), and business continuity activities, while proactively identifying and mitigating functional business risks. Essential Duties and Responsibilities: Lead and manage site Quality organizations across Johor and Sarawak to support Substrate Operations in achieving Quality KPIs. Partner with Operations, Engineering, Media, and cross-functional teams to drive quality improvement, reduce variation, and enhance outgoing product quality while meeting cost objectives. Review and approve quality-related process controls and improvement plans in alignment with company policies. Authorize extensions for Engineering Change Requests (ECR/ECN) when technically and quality justified. Review and reject inadequate 8D reports that do not meet required problem-solving methodology. Review and reject document approvals that do not comply with quality or ISO management system requirements. Exercise authority to stop shipments that do not meet defined quality standards. Ensure effective resource planning, talent development, and training for the Quality teams across both sites. Ensure compliance with applicable legal, regulatory, customer, and corporate quality requirements. Consolidate, summarize, and report Substrate quality performance to Upper Management at defined intervals. Act as a Crisis Management Team (CMT) member to ensure safe, stable, and compliant site operations. Support internal audits, external certifications, and customer (Media or downstream) audits. Perform other duties or projects as assigned by management. REQUIRED: Bachelor’s degree in Quality, Industrial Engineering, Mechanical Engineering, Materials Engineering, Chemistry, Physics, Science, or a related discipline. PREFERRED: Minimum of 8 years of experience in Quality and/or Process Engineering, including at least 3 years in a Quality leadership or management role. SKILLS: Strong leadership experience managing Quality or Process Engineering teams in a manufacturing environment. Proven experience in supplier or contract manufacturer quality management and qualification activities. Hands-on expertise in corrective action management and structured problem-solving (8D). Working knowledge or formal training in ISO 9001, ISO 14001, ISO 45001, ISO 22301, RBA standards, SPC, FMEA, Six Sigma, statistical tools, and quality methodologies is an advantage. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com .