Working cross-functionally with design, test, quality, operations, foundry, and OSAT partners, the successful candidate will identify trends, uncover root causes, develop actionable insights, and drive corrective actions through data-driven decision making. The ideal candidate is highly analytical, technically proficient, and comfortable working independently in a fast-paced, multidisciplinary environment.
In This Role You Will
Own and manage product, test, yield, reliability, and manufacturing data throughout the product lifecycle from NPI through high-volume production.
Analyze wafer sort, final test, assembly, and reliability data to identify yield issues, process excursions, and opportunities for continuous improvement.
Perform statistical analysis, data mining, and visualization of large manufacturing datasets to drive yield enhancement, quality improvement, and cycle-time reduction.
Develop automated data pipelines, dashboards, and reporting solutions to monitor key performance indicators including yield, quality, reliability, WIP, cycle time, and production efficiency.
Drive root cause investigations using statistical methodologies and engineering analysis techniques to resolve product, process, and manufacturing issues.
Partner closely with design, test, quality, operations, foundry, and OSAT teams to identify correlations between test results, process metrics, and product performance.
Support product qualification, characterization, production ramp, and sustaining engineering activities through data-driven analysis and recommendations.
Monitor process and yield trends across multiple manufacturing sites and suppliers, identifying risks and escalation paths before impacting production.
Lead silicon and manufacturing performance reviews, presenting technical findings and improvement opportunities to engineering and management teams.
Support program management activities including milestone planning, manufacturing readiness reviews, risk assessment, resource coordination, and cross-functional alignment.
Maintain product documentation, qualification reports, yield summaries, technical specifications, and manufacturing analytics reports.
Identify and implement opportunities to improve manufacturing efficiency, throughput, automation, and overall equipment effectiveness through data-driven initiatives.
Monitor WIP, cycle time, yield, and defect metrics to drive process optimization and operational excellence.
Develop predictive analytics and monitoring methodologies to proactively identify manufacturing issues and improve product performance.
You Bring to the Table
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Data Engineering, Computer Science, Statistics, or a related technical field.
5-8+ years of experience in semiconductor product engineering, manufacturing engineering, yield engineering, NPI, or semiconductor data analytics.
Strong experience analyzing semiconductor manufacturing data including wafer sort, final test, yield, reliability, assembly, and process control data.
Proficiency with data analytics and visualization tools such as Python, SQL, JMP, Spotfire, Excel, or similar platforms.
Experience developing automated reporting solutions, dashboards, and large-scale data analysis workflows.
Knowledge of statistical methods including DOE, SPC, regression analysis, correlation analysis, hypothesis testing, and trend analysis.
Hands-on experience working with semiconductor foundries, OSATs, and cross-functional engineering teams.
Strong understanding of semiconductor manufacturing flows, product qualification, reliability methodologies, and production ramp activities.
Demonstrated ability to drive yield improvement, defect reduction, root-cause analysis, and manufacturing optimization using data-driven approaches.
Excellent communication skills with the ability to present complex data and technical findings to engineering, operations, and executive stakeholders.
Self-motivated, highly analytical, and capable of working independently while thriving in a collaborative team environment.
For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
- EEO is the Law: Notice of Applicant Rights Under the Law.
- Job Req Type: Experienced
Required Travel: Yes, 10% of the time
Shift Type: 1st Shift/Days
The expected wage range for a new hire into this position is $150,978 to $218,624.
Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.
