DFT Design Engineer

at  Advanced Micro Devices Inc

SKILLS AND EXPERIENCE REQUIREMENTS:

• Extensive experience developing and deploying machine learning applications.
• Experience with Python, scikit-learn, TensorFlow, or similar machine learning frameworks.
• Experience with software deployment processes including CI/CD pipelines, Agile methodology, and DevOps/MLOps/DataOps.
• Knowledge of both machine learning and statistical analysis principles and algorithms
• Experience with Perl/Python/Tcl/Shell scripting.
• Digital circuits and VLSI knowledge
• Excellent problem-solving and analytical skills
• Excellent communication and teamwork skills
• Excellent organizational and time management skills

WHAT YOU DO AT AMD CHANGES EVERYTHING

We 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 – 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’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
Responsibilities:

THE ROLE:

Central DFX (CDFX) is a centralized ASIC design group within AMD’s 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.

KEY RESPONSIBILITIES:

• Understand Design-for-Test (DFT) and Design-for-Debug (DFD) architecture, flow, and methodologies.
• Develop expert system and machine learning application to solve DFT problems.
• Deploy machine learning models to a production environment.
• Monitor and maintain machine learning models in production environments.
• Stay up to date with the latest trends and advancements in AI and ML and identify opportunities for the team to implement new models and technologies.
• Implement and deploy automated design flows to implement and verify DFT features in a complex SOC ASIC design or IP subsystem.
• Deliver Perl, Python, TCL scripts that provide scalable solutions key to DFT implementation.