AI Solution Engineer - Agentic AI

ADVANCE YOUR CAREER. ADVANCE THE WORLD.  At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.    Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career. AI Solutions Engineer – Debug Tools   The Role: We are looking for a highly motivated AI Solutions Engineer to help transform how semiconductor debugging and tool readiness are delivered through AI-powered solutions. In this role, you will work directly with debug tools developers, architects, and SoC engineers to identify high-impact engineering problems and rapidly develop AI-driven solutions that improve productivity, accelerate bring-up activities, and shift-left debug readiness.   The Person: You will serve as the bridge between engineering teams and AI technologies, turning complex debugging workflows into scalable AI-enabled experiences. The ideal candidate combines strong technical problem-solving skills, software development expertise, and a passion for applying modern AI technologies to real-world challenges.

Partner with debug tools leads, debug teams/key users to identify engineering bottlenecks and automation opportunities. Design, prototype, and deploy AI-powered solutions that improve debug efficiency, reduce manual effort, and accelerate root-cause analysis. Develop agentic workflows, copilots, MCP integrations, RAG systems, and AI assistants for semiconductor debugging use cases. Build proof-of-concepts and production-ready solutions using LLMs, AI agents, and automation frameworks. Translate semiconductor debug workflows into scalable software and AI solutions. Analyze logs, reports, register data, validation results, and other engineering artifacts to develop intelligent troubleshooting capabilities. Drive shift-left initiatives by enabling earlier defect detection, readiness validation, and automated diagnostics. Work closely with software, firmware, validation, and silicon teams to deploy solutions into daily engineering workflows. Measure business impact through productivity improvements, cycle-time reduction, and readiness acceleration. Evangelize AI best practices and help engineers adopt AI-first workflows. Required experience: •  Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field. 5-8 years of software engineering, automation, validation, or semiconductor engineering experience. Strong programming skills in Python. Experience developing enterprise applications, automation solutions, or engineering tools. Hands-on experience with Generative AI technologies including: LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.) Agentic AI frameworks MCP (Model Context Protocol) Retrieval Augmented Generation (RAG) Vector databases and embeddings Prompt engineering and evaluation Experience building APIs, automation workflows, and integrations. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities.

Experience in semiconductor debugging, silicon validation, bring-up, or DFT/debug environments. Familiarity with scan, JTAG, registers, validation logs, silicon debug, or post-silicon workflows. Experience with SoC architecture, debug tools, firmware validation, or hardware/software co-debug. Knowledge of GitHub Copilot, AI coding assistants, and developer productivity tools. Experience deploying AI solutions in production environments. Familiarity with data engineering, knowledge graphs, and search technologies.   #LI-RG2 Benefits offered are described:  AMD benefits at a glance .