Yield Development Engineer at Intel

Job Details:

Job Description:

Drive Manufacturing Excellence Through Data-Driven Yield Innovation

Join Intel's Advanced Packaging Technology and Manufacturing (APTM) Yield Organization as a Yield Development Engineer and become the catalyst for breakthrough yield improvements across cutting-edge packaging technologies! You'll be the strategic problem-solver who transforms complex manufacturing data into actionable insights that directly impact production excellence and drive next-generation semiconductor packaging success.

What You'll Accomplish

Lead comprehensive yield improvement initiatives by defining strategic yield roadmaps and executing data-driven solutions using advanced analytics, model-based problem solving, and deep manufacturing process knowledge. Working in close collaboration with Process modules, Integration teams, and key stakeholders, you'll be the technical expert who bridges theory and practice to deliver measurable yield enhancements.

Extract critical insights from diverse data ecosystems including inline tool data, metrology imaging, electrical test results, and lab characterization data. Your analytical expertise will uncover hidden patterns and root causes that drive systematic yield improvements across APTM's most advanced packaging technologies.

Real-Time Impact & Strategic Leadership

Take ownership of factory yield performance by monitoring real-time yield metrics, responding swiftly to daily yield loss events, and developing proactive preventative measures. You'll prepare comprehensive yield reports, communicate key insights across multiple organizational forums, and recommend strategic actions that shape manufacturing decisions at the highest levels.

Ready to Shape Manufacturing Excellence?

If you're passionate about solving complex technical challenges, thrive in collaborative environments, and want to see your analytical insights directly improve world-class manufacturing operations, this is your opportunity to drive yield innovation that impacts global semiconductor production.

Apply now and become the yield expert who transforms data into manufacturing breakthroughs!

Qualifications:

Minimum Qualifications:

• Advanced technical degree - Bachelor's with 4 years of experience, Master's or Ph.D. in Physics, Mechanical Engineering, Material Science, Electrical Engineering, Chemistry, or related Engineering discipline

• Data analytics expertise - Experience in data analytics using Python and/or JMP with proficiency in essential data science libraries (i.e. Num Py, Pandas, Sci Py, Matplotlib, Scikit-learn, Tensor Flow, Py Torch)

Preferred Qualifications

• Process fundamentals mastery -Process fundamentals, tool behaviors, and underlying physics; construct hypothesis-driven model tables and systematically solve complex yield challenges

• Cross-functional leadership - Direct cross-functional teams, work effectively across organizational boundaries, and proactively drive stakeholder conversations for yield improvements

• Independent execution excellence - Self-driven with minimal supervision, exceptional communication skills, comfort with ambiguity, effectiveness in fast-paced environments, and strong ownership mentality

• Manufacturing experience - Experience in wafer-level and/or package assembly operations with familiarity of process flows, manufacturing tools, and common yield issues

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location:

US, Arizona, Phoenix

Additional Locations:

Business group:

Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.

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 Trust

N/A

Benefits

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 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.