At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™ brands.

We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

You will support HDD and key component product design validation, characterization, and qualification activities. This role applies engineering analysis and data-driven methodologies to evaluate product and component performance, identify potential design or process-related risks, and support continuous improvement in product quality, reliability, and manufacturability.

The role is suitable for fresh graduates or early-career candidates who have a strong technical foundation, good analytical thinking, and interest in HDD/component product design validation, data analysis, and cross-functional engineering problem solving.

Responsibilities

• Support HDD and key component product design validation, characterization, and qualification activities through engineering analysis and data-driven methodologies.
• Analyze product, component, and manufacturing data to evaluate performance, reliability, quality, and potential design or process-related risks.
• Assist in root cause analysis for product performance, yield, quality, or reliability issues by working with design, process, manufacturing, and engineering teams.
• Provide analytical support for design changes, process changes, and qualification activities, including identifying potential issues prior to production ramp-up.
• Develop dashboards, reports, scripts, or analysis workflows to support product/component validation, data review, issue tracking, and engineering decision-making.
• Contribute to the standardization of product design validation and data analysis methodologies under the guidance of senior engineers.
• Learn HDD products, key components, magnetic recording fundamentals, and related validation processes through on-the-job training and cross-functional collaboration.

• Bachelor’s degree or above in Mechanical Engineering, Electrical Engineering, Materials Science, Physics, Automation, Computer Science, Data Science, Statistics, Industrial Engineering, or a related technical discipline.
• Fresh graduate or early-career candidate with 0–2 years of relevant experience.
• Solid academic foundation in engineering analysis, data analysis, statistics, product validation, or manufacturing-related problem solving.
• Basic programming or data analysis skills, such as Python, JMP, SAS, Spotfire, SQL, MATLAB, R, or similar tools.
• Good analytical thinking, problem-solving capability, attention to detail, and willingness to learn HDD products and component technologies.
• Good communication and teamwork skills, with English proficiency sufficient for professional working environments.

Preferred Qualifications

• Internship, research project, thesis, coursework, or competition experience related to product design validation, component characterization, data analytics, quality improvement, statistical analysis, manufacturing engineering, or industrial automation.
• Exposure to HDD, semiconductor, electronics, precision manufacturing, storage products, or component engineering is a plus.
• Basic understanding of magnetic recording, HDD components, head/media process, head device process, or storage technologies is a plus, but not required.
• Experience using Python, JMP, Spotfire, SAS, SQL, or other tools for data cleaning, visualization, statistical analysis, or automation is preferred.
• Exposure to statistical methods, such as DOE, regression analysis, hypothesis testing, SPC, correlation analysis, or process capability analysis is a plus.
• Strong interest in HDD/component product design validation, engineering problem solving, and continuous improvement.

Because Western Digital thrives on the power of diversity and is committed to an inclusive environment where every individual can thrive through a sense of belonging, respect, and contribution, we are committed to giving every qualified applicant and employee an equal opportunity.  Western Digital does not discriminate against any applicant or employee based on their protected class status and complies with all federal and state laws against discrimination, harassment, and retaliation, as well as the laws and regulations set forth in the "Equal Employment Opportunity is the Law" poster.

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 [email protected] 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 [email protected].