About the role

AI summarised

The Software Development Engineer at AMD will join a diagnostic test development team to create AI/ML-driven solutions for silicon validation, reliability screening, and failure analysis. The role involves developing algorithms, building prototypes, and collaborating with cross-functional teams to transition innovations into production test flows. The ideal candidate has strong AI/ML expertise, semiconductor test experience, and proficiency in relevant programming languages and frameworks.

FablessOnsiteEngineering

Key Responsibilities

Develop AI/ML algorithms to enhance diagnostic test coverage and efficiency
Identify opportunities where AI can significantly improve failure analysis, pattern recognition, and anomaly detection
Build prototypes, validate performance, and transition successful solutions into production test flows
Partner with silicon, product, and test engineers to gather requirements and refine AI-driven methodologies
Drive innovation during the first 3–12 months by delivering proof‑of‑concept models, scalable tools, and measurable improvements to diagnostic capability

Requirements

Strong AI/ML background including deep learning, statistical modeling, and data analytics
5+ years experience working with semiconductor verification, validation, or test data
Familiarity with C++, Python, PyTorch/TensorFlow, and data engineering pipelines
Experience conceptualizing and implementing AI solutions in complex technical domains
Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field