Senior Engineer, Product Design Engineering

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.

Requirements

• 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.

Additional Information

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.

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Company Intel

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