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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Silicon Verification Solutions Engineer - **Company:** Advanced Micro Devices, Inc. - **Location:** San Jose, CA, United States - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Cloud Computing, Computer Programming, Databases, Computer Engineering, Continuous Integration, Data Mining, Software Debugging, DevOps, Perl (Programming Language), Github, Hardware Description Language, Hardware Design, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Perforce, Software Tools, Software Engineering, SystemVerilog, Web Application Frameworks, Google Cloud, Cloud Platform System, Large Language Models, Generative AI, Git, Build Management, Information Technology, Hardware Infrastructure, Oracle Cloud Infrastructure, Software Version Control, Jenkins - **Published:** August 1, 2026 - **Apply:** https://www.dice.com/job-detail/cebe2cc9-7ed1-4530-8ebd-e346a04a3311 ## About the Role * Programming: Proficiency in Python, C/C++, or Object-Oriented Perl. * Core Concepts: Strong grasp of Object-Oriented Programming (OOP), databases, and web frameworks. * Hardware Knowledge: Familiarity with hardware description and verification languages such as SystemVerilog, UVM, and Assertions. * Cloud Platforms: Knowledge of deploying tools in AWS, Google Cloud Platform, Azure, or OCI. * DevOps: Understanding of CI/CD workflows using Jenkins or GitHub Actions. * Version Control: Competency with Git or Perforce. * Communication: Excellent verbal and written communication skills; ability to present complex AI methodologies clearly to diverse teams. ACADEMIC CREDENTIALS: * Education: BS or MS in Electrical Engineering, Computer Science, Computer Engineering, or a related field. ## Description We are seeking an innovative and highly motivated Design Verification Engineer to join our growing team and help redefine how verification is performed at AMD. In this role, you will work with a world-class engineering team to drive the delivery of industry-leading silicon technologies with the highest levels of quality and reliability. This position is ideal for an engineer who is passionate about transforming hardware design verification through Generative AI and intelligent automation. You will play a key role in developing and deploying LLM-powered tools, AI agents, and automated workflows that accelerate verification productivity and improve coverage, debug efficiency, and overall design quality. Working at the intersection of AI and semiconductor verification, you will help build the next generation of AI-assisted and self-verifying verification environments, enabling faster and smarter hardware development. THE PERSON: The ideal candidate is a curious, forward-thinking engineer with a passion for applying AI/ML technologies to complex engineering problems, particularly within hardware design verification. You thrive in collaborative environments and enjoy working across multi-site engineering teams to solve challenging technical problems. You bring strong analytical thinking, excellent communication skills, and a willingness to explore new technologies that can improve engineering workflows and productivity. You are excited by the opportunity to push the boundaries of verification methodologies by leveraging modern AI techniques and automation., * AI-Enhanced Verification: Develop and refine ML/AI-driven strategies to automate specification analysis, RTL/Testbench generation, and intelligent debug cycles. * Agentic Frameworks: Build and deploy sophisticated AI Agents using Model Context Protocol (MCP) servers to bridge the gap between LLMs and internal engineering tools. * Modern Dev Environment: Architect and maintain high-performance development setups utilizing AI-native IDEs and extensions. * Software Design: Write clean, scalable, and maintainable code for verification infrastructure, data mining, and internal web frameworks. * Cloud & DevOps: Deploy AI-driven tools across cloud infrastructures (AWS, Google Cloud Platform, Azure, OCI) and integrate them into automated CI/CD pipelines, AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Developer Productivity Using AI Tools and Services - Ryan J Salva](https://www.wearedevelopers.com/videos/1339-developer-productivity-using-ai-tools-and-services-ryan-j-salva) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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