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Western Digital is seeking a Principal Full Stack Developer and Solutions Architect to design and build the AI, data analytics, and cloud solutions used by our Product Development engineering organization. This is a hands-on principal role: you will own the solution architecture, write the code, and design the interfaces engineers actually work in. You will sit with product engineering teams, identify where AI, data, and cloud capability create real leverage, and take those use cases from prototype to production. Your scope spans the full solution — agentic and AI/ML services, the data and analytics layer beneath them, and the cloud platform they run on. You will set the design patterns, evaluation standards, and quality gates that the wider team builds against, and act as the senior technical counterpart to the AI Center of Excellence, Enterprise Data, and Engineering Cloud organizations. Success in this role is measured by engineering productivity gained, not only by systems deployed. Essential Duties and Responsibilities: Solution Architecture & Technical Leadership Own end-to-end solution architecture for Product Development use cases spanning AI/ML, data analytics, and cloud — from data source through to the engineer’s interface. Establish reference architectures, design patterns, and technology standards, and select the tools the organization will standardize on. Make build-vs-buy decisions and defend them to IT and business leadership. Ensure solutions align with enterprise security and data governance requirements by design. Provide design review and technical mentorship to the AI/Data Engineer and Platform/DevOps Engineer on the team. Ability and proven track record managing software developers AI & Agentic Systems Design agent systems for engineering workflows: tool use, orchestration, multi-agent boundaries, and human-in-the-loop controls. Define evaluation methodology and quality gates — golden sets, regression suites, LLM-as-judge — so that no solution reaches an engineer’s desk unvalidated. Set model routing and guardrail policy through the enterprise LLM gateway. Determine where AI is the right answer and where a deterministic pipeline, analytics solution, or existing automation is the better engineering decision. Data & Analytics Architect the data and retrieval layer that AI and analytics solutions depend on: ingestion, modeling, semantic layers, and access patterns across engineering and test data. Select and integrate data analytics and BI tooling, and enable self-service analytics for engineering teams rather than one-off reporting. Design pipelines and data products that land on Enterprise Data foundations rather than duplicating them. Ensure data quality, lineage, and permission propagation so that downstream AI and analytics outputs are trustworthy. Cloud & Platform Architect solutions for AWS and containerized runtimes, balancing performance, reliability, and cost. Define deployment, infrastructure-as-code, and CI/CD patterns in partnership with the Platform/DevOps Engineer. Engineer for latency, inference cost, and cloud spend as first-class design constraints. Build on Engineering Cloud and AI CoE platform foundations rather than constructing parallel stacks. Full Stack Development & User Experience Build applications end-to-end: backend services, orchestration logic, APIs, data access, and the user-facing surface. Own the user experience — how work is initiated, how progress is made visible, and how output is reviewed and corrected by the engineer. Decide embedded-versus-standalone delivery across Slack, Teams, IDE, BI, and web surfaces, and ship working pilot interfaces without waiting on a front-end team. Define the interaction patterns that ITES-US Engineering & Web Apps productionizes for scaled deployment. Delivery & Enablement Partner directly with Product Development engineers to identify, scope, and co-develop solutions; work on-site alongside engineering teams on a regular cadence. Translate Product Development leadership priorities into a sequenced solution roadmap with measurable outcomes. Run skill-transfer sessions so that PD engineers can extend and maintain what is built. Bachelor’s degree in Computer Science, Engineering, Physics or a related field; advanced degree a plus. 8+ years of professional software engineering experience, including production ownership of systems you designed. Demonstrated solution architecture experience spanning more than one domain — application, data, cloud, or AI — with the ability to own a design end-to-end. Strong Python and SQL; proficiency in a modern front-end stack (React/TypeScript) or rapid UI frameworks (Streamlit, Gradio) sufficient to ship a usable internal tool independently. Demonstrated experience building LLM-based applications with orchestration frameworks (LangGraph, Langflow, or equivalent), including tool/function calling and MCP-based integrations, and practical experience with RAG architectures. Hands-on experience with data engineering and analytics tooling — pipeline orchestration (Airflow, dbt, or equivalent), warehouse or lakehouse platforms, and BI or visualization tools. Solid AWS experience, including containerized workloads (Kubernetes/EKS), infrastructure-as-code, and cost-aware architecture. Working knowledge of evaluation methodology for non-deterministic systems, with a track record of measuring quality rather than asserting it. Excellent written and verbal communication; able to present technical direction to director and VP audiences. Ability to work on-site in San Jose, CA, with regular embedded time alongside engineering teams. Preferred Qualifications Prior delivery of an AI or analytics solution in production at meaningful scale, with adoption evidence. Experience in semiconductor, storage, or hardware product development environments, including engineering and test data. Familiarity with engineering toolchains — GitHub, Jira, Confluence, CI/CD systems, and test data platforms. Design-system literacy and prior ownership of a developer-facing product surface. Experience operating within an enterprise AI platform (LLM gateway, RAG-as-a-service, managed inference) and enterprise data governance frameworks. Key Competencies Architect who ships — comfortable moving between whiteboard and codebase in the same day Breadth across AI, data, and cloud, with the judgment to know which one the problem actually calls for Product sense: judges success by engineer adoption, not by technical elegance Ability to influence without authority across IT and engineering organizations Comfortable with ambiguity in a newly formed team Collaborative and customer-centric mindset toward the engineers being served What Success Looks Like Use cases move from prototype to production adoption within Product Development, with measurable engineering time returned. Documented reference architectures and evaluation standards exist across AI, data, and cloud, and are used by the wider team. Product Development engineers request the team’s involvement rather than being recruited into it. Solutions are built on enterprise foundations, with no parallel stacks created. Western Digital 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 . Western Digital 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. Western Digital 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 12/29/2026, 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. #Ll-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 .