The Role and Impact
As a Yield Analysis Engineer, you will analyze semiconductor manufacturing data to identify yield trends, investigate performance issues, and drive improvements in manufacturing processes. You will collaborate with cross-functional teams to develop data-driven solutions that improve yield, reduce defects, and enhance product quality and reliability, supporting Intel's next-generation silicon photonics technologies.
Business Group
You will be part of Intel's manufacturing operations team, supporting the development and production of advanced semiconductor technologies. The team focuses on improving manufacturing yield, process efficiency, and product quality through data analysis, technical problem-solving, and cross-functional collaboration.
Key Responsibilities
- Analyze semiconductor manufacturing yield data to identify trends, anomalies, and opportunities for improvement.
- Investigate yield issues and process deviations, collaborating with cross-functional teams to identify root causes and implement corrective actions.
- Apply statistical methods and analytical tools to evaluate manufacturing performance and support data-driven decision-making.
- Develop and implement strategies to improve yield performance, minimize defects, and optimize manufacturing processes.
- Generate reports, analyze performance metrics, and provide actionable recommendations to improve product quality and reliability.
- Support continuous improvement initiatives to achieve manufacturing yield targets and operational objectives.
Qualifications:
Minimum Qualifications
- Bachelor's degree in a relevant field with 4+ years of experience in semiconductor manufacturing, data analysis, or a related field; OR
- Master's degree in a relevant field with 3+ years of experience; OR
- PhD in a relevant field with no prior professional experience required.
- 2+ years of hands-on experience using data analysis or programming tools such as Python, R, MATLAB, JMP, or equivalent.
- 2+ years of experience applying statistical methods and process control systems.
- 2+ years of experience working with large datasets and database management systems.
Preferred Qualifications
- Strong communication and problem-solving skills, with a proven ability to work collaboratively across teams.
- Familiarity with semiconductor manufacturing processes and materials.
- Hands-on experience in yield analysis techniques and methodologies.
- Demonstrated ability to manage multiple projects in a fast-paced, dynamic environment.
- Experience in semiconductor manufacturing and/or advanced packaging technologies.
Your expertise can help shape the future of semiconductor technology. Join us and be part of a global team that is driving innovation and delivering impactful solutions to customers worldwide.
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, New Mexico, AlbuquerqueAdditional 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: $103,730.00-198,820.00 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 require an on-site presence. * 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 a relevant field and 4+ years of experience in semiconductor manufacturing, data analysis, or a related field; alternatively, a master's degree with 3+ years of experience or a PhD with no prior professional experience.
- 2+ years of hands-on experience using data analysis or programming tools such as Python, R, MATLAB, JMP, or equivalent.
- 2+ years of experience applying statistical methods and process control systems.
- 2+ years of experience working with large datasets and database management systems.
- Strong communication and problem-solving skills, with the ability to collaborate across teams.
- Familiarity with semiconductor manufacturing processes and materials.
- Hands-on experience in yield analysis techniques and methodologies.
- Ability to manage multiple projects in a fast-paced, dynamic environment.
- Experience in semiconductor manufacturing and/or advanced packaging technologies.
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.
Intel Insights
What We Do
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