Product Development Engineer - AI & Analytics

ADVANCE YOUR CAREER. ADVANCE THE WORLD.  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. Join us and, together, we’ll advance your career.

We are seeking a highly motivated engineer to develop software, data, automation, and AI-driven solutions that improve Product Engineering productivity and decision-making. You will build tools, analytics, dashboards, and intelligent applications that help engineering teams work more efficiently and gain insights from complex manufacturing and engineering data.   THE PERSON: You are a hands-on problem solver with strong software and data skills, a passion for automation and AI, and the ability to turn ideas into practical solutions. You enjoy working with cross-functional teams, analyzing complex data, building scalable applications, and driving continuous improvement through technology.

Design and develop software tools, automation frameworks, and data-driven solutions to improve Product Engineering productivity and execution efficiency.  Develop and maintain data pipelines, data models, analytics workflows, and data-quality checks that support engineering operations and decision-making.  Analyze engineering and manufacturing data to identify trends, anomalies, risks, bottlenecks, yield opportunities, and improvement actions.  Build dashboards, notebooks, reports, and visualizations for KPI tracking, engineering analytics, and management reporting.  Develop intelligent applications using machine learning, generative AI, prompt engineering, natural-language processing, anomaly detection, or LLM-based approaches where appropriate.  Integrate applications with enterprise and engineering systems through REST APIs to improve data accessibility, traceability, task management, and knowledge sharing.  Develop scalable solutions for issue tracking, workflow management, operational reporting, and engineering knowledge retention.  Build or support lightweight web applications and user interfaces for analytics, automation, or AI-enabled engineering workflows.  Define validation, evaluation, logging, and monitoring approaches to ensure outputs are accurate, traceable, useful, and suitable for engineering use.  Collaborate with stakeholders to gather requirements, define architectures, test solutions, support deployment, and drive user adoption.  Document designs, implementation steps, test results, user guides, limitations, risk controls, and best practices for maintainability and knowledge transfer.    PREFERRED EXPERIENCES: Experience in Product Engineering, Software Engineering, Data Engineering, Analytics, Test Engineering, or a related technical discipline.  Python and programming - Strong Python skills for data processing, automation, analytics, report generation, engineering-log analysis, or AI application development. Experience with C or another language is an advantage.  Data analysis and SQL - Strong SQL fundamentals and experience extracting, transforming, cleaning, validating, modeling, and analyzing engineering or manufacturing data.  AI and machine learning - Practical knowledge of machine learning, generative AI, prompt engineering, NLP, anomaly detection, predictive analytics, or LLM applications.  Data visualization - Experience with Tableau, Power BI, matplotlib, Plotly, or equivalent tools for dashboards, yield/KPI tracking, analytics, and management reporting.  Web application development - Exposure to React, Vue, Flask, FastAPI, Django, or similar frameworks for building lightweight interfaces and