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About the Role

AMD is hiring a Sr. Product Development Engineer to research, design, develop, and support software-driven system level test (SLT) solutions for datacenter server processors throughout the product development life cycle. This role involves developing, debugging, and enhancing test software, automation frameworks, data analysis pipelines, and system level characterization flows used in semiconductor product validation and manufacturing. You will work on complex problems requiring analysis of large-scale data sets and system behavior, coordinating with cross-functional engineering teams.

Responsibilities

Develop, debug, and enhance test software, automation frameworks, data analysis pipelines, and system level characterization flows.
Research, design, develop, and improve system level test (SLT) software, test programs, and characterization flows for datacenter server processors across the full product life cycle.
Develop and extend software-based characterization and screening workflows using existing SLT test content, automated test algorithms, and configurable test frameworks.
Analyze post silicon characterization and manufacturing data using statistical techniques to support silicon debug, yield optimization, and quality improvements.
Apply machine learning and data-driven modeling techniques to system level test data to identify failure signatures, improve screening effectiveness, enhance test performance metrics, and drive product quality improvements.
Design, implement, and maintain SLT test flow software, including version control, configuration management, revision control, and optimization of test conditions.
Develop, bring up, and debug test programs, test patterns, and test algorithms across wafer sort and final test environments.
Debug and resolve issues involving test software, automation scripts, analytics pipelines, diagnostic tools, test hardware interfaces, methods, and device-specific intellectual property (IP).
Collaborate with ATE, validation, design, manufacturing, and fabrication teams to analyze system level behavior, identify root causes of yield or quality issues, and implement software-driven test and process improvements.
Perform system level test yield and performance analysis, generating statistical reports, dashboards, and visualizations.
Develop automation and analytics tools using Python, SQL, scripting languages, and data analysis libraries to process large SLT data sets.
Apply principles of algorithms, data structures, and object-oriented design to improve the reliability, scalability, and maintainability of SLT software systems.
Exercise judgment within defined company procedures and practices to select appropriate software methodologies, statistical techniques, machine learning approaches, and evaluation criteria.

Requirements

Master’s degree or foreign equivalent in Computer Science, Systems Software Engineering, Software Engineering, Computing and Information Science, or related field.
Experience in computer science fundamentals, including algorithms, data structures, and object-oriented software design.
Experience in developing and debugging software systems used for system level testing, automation, and data analytics.
Experience in statistical analysis, machine learning techniques, and data modeling for improving performance, yield, and quality metrics.
Experience working with large-scale engineering data sets and automated data processing pipelines.
Experience with complex systems integrating software, data analytics, and hardware validation environments.
Experience with programming and scripting languages: Python, SQL, Java, and Bash.
Experience with data analytics and visualization tools: Power BI, Dataiku, and Snowflake.
Experience with software development environments: Linux, Git, and Jupyter Notebook.
Experience with Python libraries for data processing, statistical analysis, visualization, and applied machine learning.
Experience may be gained through graduate-level coursework, research, or internship experience.

Skills

Algorithms
Data Structures
Object-Oriented Software Design
System Level Testing
Automation
Data Analytics
Statistical Analysis
Machine Learning
Data Modeling
Large Scale Data Sets
Automated Data Processing Pipelines
Software Development Environments
Python
SQL
Java
Bash
Power BI
Dataiku
Snowflake
Linux
Git
Jupyter Notebook
Python Libraries for Data Processing
Python Libraries for Statistical Analysis
Python Libraries for Visualization
Python Libraries for Applied Machine Learning

Location

Work Type

Full-time

Experience Level

Entry Level

Education Level

Master's 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.