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About the Role

As a Senior Product Development Engineer, you will improve the quality and reliability of AMD’s Server CPUs and Instinct accelerators. This role involves analyzing manufacturing and test data to create actionable insights and machine-learning solutions, optimizing test processes, and collaborating with cross-functional teams.

Responsibilities

• Partner with Product Engineering, Test Engineering, Yield Engineering, Quality, and Operations to identify, define, and prioritize analytics and machine-learning use cases that materially improve yield, quality, and cost.
• Develop and deploy ML/AI solutions for parametric outlier screening, drift detection, and excursion/anomaly detection across wafer, lot, site, and package dimensions.
• Perform in-depth root-cause analysis of yield loss and DPPM drivers by correlating test, fab, assembly, and design variables.
• Build, productionize, and maintain yield and quality analytics within AMD’s AVA analytics platform.
• Drive adaptive test, screening, and binning strategies using data-driven insights to optimize product quality and manufacturing efficiency.
• Author clear technical documentation and reports; present findings and recommendations to cross-functional teams and executive audiences.
• Contribute reusable code, analytics frameworks, and best practices that elevate team capability and accelerate future development.

Requirements

• Strong background in semiconductor product development, yield engineering, or test engineering, with hands-on experience analyzing high-volume manufacturing data.
• Solid foundations in statistics and machine learning, including hypothesis testing, DOE/RSM, regression, classification, outlier detection, time-series analysis, and anomaly detection.
• Familiarity with Python and SQL for data analysis and modeling (e.g., pandas, NumPy, scikit-learn), general coding experience and demonstrated past ability in related scientific computing work.
• Practical knowledge of semiconductor manufacturing and test flows, including wafer sort and final test, binning strategies, DPPM analysis, reliability screens, and excursion management.
• Familiarity with yield analytics ecosystems similar to AMD’s environment; experience with server-class CPUs and/or accelerator/GPU products is highly desirable.
• Demonstrated ability to deploy analytics or ML solutions into production environments, not just develop them in notebooks.

Skills

• Machine Learning
• Data Analysis
• Python
• SQL
• Statistics
• Root Cause Analysis
• Analytics
• Semiconductor Manufacturing
• Test Engineering
• Yield Engineering

Location

• Hybrid

Work Type

• Hybrid
• Full-time

Experience Level

• Senior

Education Level

• Bachelor's Degree
• Master's Degree
• Doctoral Degree

Benefits

• AMD benefits at a glance

About the Company

• At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
• Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward.

Equal Opportunity

• AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.
• We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.