About the role
AI summarisedJoin a high-impact diagnostic test development team at AMD, leveraging AI/ML to transform silicon validation, reliability screening, and failure analysis workflows. This role involves conceptualizing and prototyping novel AI-driven diagnostic methodologies to influence next-generation semiconductor products.
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
- Creative problem solver who thrives in ambiguity and enjoys transforming conceptual ideas into working AI/ML solutions.
- Strong analytical thinking and comfortable with complex semiconductor data.
- Proven ability to work cross-functionally and communicate technical concepts effectively.
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field preferred.