Intel is looking for highly motivated individuals with strong technical background and capabilities to drive rapid continuous improvements in safety, quality, yield, reliability, cost, process stability/capability, and productivity while maintaining rigorous quality control. Your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision.
The role of a Defect Reduction Engineer is to deliver high-quality analytical insights and to drive yield improvement activities to minimize defects in BU and BE segments. All improvements and sustaining work are done in close collaboration and partnership with the process to improve the capability of the tools and processes.
Your responsibilities as a Defect Reduction Engineer may include, but are not limited to:
- Performing detailed analysis to monitor inline yield and identify the root cause of defect and yield issues using various statistical/data mining tools.
- Identifying excursionary or baseline sources of defects or yield impacts and recommending/leading corrective actions/fixes.
- Lead/participate continuous improvement projects on products and processes for improved performance.
- Provide expertise on process flow segments.
- Lead/participate in multi-area problem solving teams to provide expertise to troubleshoot complex yield problems.
The ideal candidate should exhibit the following behavioral traits:
- Solid analytical skills and a passion for data analysis and problem solving.
- Proficiency in translating complex yield data into strategic action plans, establishing clear milestones, accountability, and ownership to drive rapid issue resolution.
- Effective communication and presentation skills to influence decision-making in a wide variety of groups at all levels.
- Excellent teamwork, leadership skills, problem solving and prioritization skills, and driving high-performance maintenance goals for the group.
- Organizational skills with attention to detail.
- Ability to thrive in a fast-paced environment with the flexibility to meet tight product timelines.
- Strong drive for self-improvement and a passion for independently acquiring new technical skills, mastering emerging data science tools, and staying current with semiconductor industry trends to solve increasingly complex challenges.
Behavioral traits
- Strong communication skills, proactive problem-solving capabilities, and adaptability in a fast-paced environment.
- Connect analysis results to process fundamentals, tool behavior, and physics principles.
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates. This position is not eligible for Intel immigration sponsorship
Minimum Qualifications
- Bachelor's degree in Materials Science and Engineering, Mechanical Engineering, Computer Science, Information Systems, Chemical Engineering, Electrical Engineering, Physics, or Chemistry, with 4+ years of hands-on experience in yield analysis, OR a Master's degree with 3+ years of experience, OR a Ph.D. with no prior professional experience.
- Experience mentioned above should be a combination of the following areas:
- Engineering analysis tools and scripting methods, including Python, JMP, and SQL.
- Analyze big data and perform commonality analysis using data science libraries and dashboard creation.
- Root Cause Analysis, Model-based Problem Solving, Commonality Analysis
Preferred Qualifications:
- Experience in yield, integration, LYA (Layout Yield Analysis), FA (Failure Analysis), test, sort, defect metrology, or QNR.
- Proven experience leading cross-functional teams to solve yield-related challenges.
- Familiarity with wafer-level or package assembly processes or substrate process flow, including process flow, tools, and yield issues.
- Semiconductor manufacturing processes and logic or substrate process flows required for yield analysis.
Take the next step in your career by joining our team to shape the future of semiconductor technology while making a meaningful impact on our innovative solutions and achievements.
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional Locations:Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $115,110.00-219,550.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.Skills Required
- Bachelor’s degree in Materials Science and Engineering, Mechanical Engineering, Computer Science, Information Systems, Chemical Engineering, Electrical Engineering, Physics, or Chemistry, plus 4 or more years of hands-on yield analysis experience; alternatively, a master’s degree plus 3 or more years of experience, or a Ph.D. with no prior professional experience.
- Experience with engineering analysis tools and scripting methods, including Python, JMP, and SQL.
- Experience analyzing big data and performing commonality analysis using data science libraries and dashboard creation.
- Experience with root cause analysis, model-based problem solving, and commonality analysis.
- Experience in yield, integration, layout yield analysis, failure analysis, test, sort, defect metrology, or QNR.
- Experience leading cross-functional teams to solve yield-related challenges.
- Familiarity with wafer-level or package assembly processes, substrate process flows, process tools, and yield issues.
- Experience with semiconductor manufacturing processes and logic or substrate process flows for yield analysis.
Intel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intel and has not been reviewed or approved by Intel.
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Leave & Time Off Breadth — Sabbaticals and paid time off are highlighted as signature elements, with an established program offering four weeks after four years or eight weeks after seven years. This distinctive time off is positioned as a meaningful part of the overall package.
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Parental & Family Support — Paid bonding leave of 12 weeks and a New Parent Reintegration program, plus fertility benefits around $40,000 and up to $15,000 adoption reimbursement with no lifetime cap, are clearly stated. These programs are presented as standout components alongside broader family support resources.
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Healthcare Strength — Multiple medical plan options with 2026 updates, a shift to Spring Health for EAP, and in‑network virtual medical visits covered at 100% beginning in 2026 indicate a comprehensive offering. These features signal an emphasis on robust medical access and mental health support.
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