Senior Yield Engineer – Substrate & Advanced Packaging

Intel•Chandler, AZ

1d•$133,800 - $255,200•Onsite

About The Position

Join Intel's Innovation Journey Are you passionate about driving breakthrough technologies that power the world's most advanced computing solutions? Intel Foundry Group is seeking a talented Senior Yield Engineer – Substrate & Advanced Packaging to join our Advanced Packaging Technology and Manufacturing team. In this role, you'll be at the forefront of semiconductor innovation, working with cutting-edge technology nodes and making direct impact on next-generation products that shape the future of computing.

Requirements

Candidate must possess a Masters degree in Materials Science and Engineering, Mechanical Engineering, Chemical Engineering, Electrical Engineering, Chemistry/Physics or related field and 5+ years of experience. Or a PhD degree in the same fields and 3+ years of experience.
3+ years of experience using engineering analysis tools, data analysis techniques, and scripting languages (e.g., Python) to automate analytical workflows and standard analysis tasks.
3+ years of experience working with logic or substrate manufacturing process flows, including direct involvement in yield analysis or process optimization activities.
3+ years of experience performing commonality analysis and large‑scale data analytics using JMP, SQL, and Python, including experience developing dashboards or data visualizations to enable broad access to datasets.

Nice To Haves

Experience in integration, yield, LYA, FA, test, sort, defect metrology, or QNR.

Responsibilities

Drive Technology Excellence Through Data-Driven Insights: Lead process development initiatives throughout complete technology node lifecycles by identifying and resolving critical yield limiters. Perform advanced statistical analysis and create compelling data visualizations to build accurate process development roadmaps that achieve key technology yield milestones. Develop innovative methods, processes, and systems to consolidate and analyze diverse big data sources, establishing optimal methodologies for defect mode understanding and yield modeling.
Transform Complex Data into Actionable Solutions: Organize, interpret, and structure insights from fabrication process, defect, and electrical data while detecting anomalies and driving process improvements for yield enhancement. Extract meaningful insights from both structured and unstructured data by synthesizing large data volumes using statistics, machine learning, and advanced coding techniques. Develop sophisticated systems that transform complex experimental and manufacturing data into concrete yield improvement actions.
Collaborate Across Teams for Maximum Impact: Execute new product introductions and enable design technology co-optimization through participation in factory task force design of experiments. Create cross-functional partnerships across organizations to debug yield limiters in design, test, and process development areas. Ensure manufacturability through comprehensive analysis of process and specification corners, working closely with design teams to resolve yield issues before manufacturing ramp.
Innovate with Advanced Tools and Methodologies: Develop cutting-edge tools, multivariate algorithms, and methodologies for high-volume data analysis to identify root cause yield limiters. Perform fault isolation and failure analysis using various advanced techniques including ATE testing, DFx software tools, optical probing, logic/circuit simulation, and emulation. Develop measurement recipes that provide rapid, accurate feedback on product integrity to resolve yield and quality issues.