:WHAT YOU DO AT AMD CHANGES EVERYTHINGWe care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences \xe2\x80\x93 the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world\xe2\x80\x99s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.AMD together we advance_The Role:Central DFX (CDFX) is a centralized ASIC design group within AMD\xe2\x80\x99s Technology and Engineering organization. CDFX has a global footprint with design teams located in several AMD offices in North America and Asia. Our mandate is to optimize and standardize design methodology, design and implementation of critical Design-for-Test (DFT) and Design-for-Debug (DFD) features for complex state-of-the-art APU computing, game console and GPU graphics products. It is also responsible for DFX design methodology and CAD automation tools development to support the global DFX engineering teams across AMD. DFx (DFT, DFD) is a niche field of ASIC design where essential functionality is added to support semiconductor productization including manufacturing test, yield improvement and board debug.The Person:A DFT designer would need to factor many multi-dimensional issues such as power, area and timing. Our work is a key contributor to delivering a high-quality design and can improve AMD\xe2\x80\x99s operating expenses in the millions. The Machine Learning (ML) Engineer is a technical expert for artificial intelligence (AI) development, deployment, and sustained quality.The ML engineer works with DFT engineers to identify opportunities for ML and AI application. The ideal candidate will have a strong understanding of both machine learning and statistical principles and algorithms, as well as experience with developing and deploying machine learning models in production environments.KEY RESPONSIBILITIES:
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