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RTL Methodology Silicon Design Engineer

AMD· Engineering
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Austin, TX$178.4kFull-timePosted 5d ago

About the role

RTL Methodology Engineer at AMD focused on building infrastructure, tooling, and AI-powered capabilities to accelerate RTL design for next-generation CPU cores. Collaborates with Performance Modeling, Design Verification, Physical Design, and Post-Silicon teams to advance AMD’s CPU roadmap and bring AI-assisted engineering workflows into hardware design.

Responsibilities

  • Execute and refine the methodology and tools needed to accomplish RTL design work
  • Develop AI-powered tools and agentic workflows that accelerate RTL design, review, debug, and code quality — including LLM-based assistants, code generation and transformation, and automated analysis of design artifacts
  • Own and advance the RTL static analysis ecosystem: linting flows, rule authoring and waiver management, SystemVerilog/Verilog parsers, ASTs, and custom code-analysis tooling
  • Identify high-value opportunities to apply AI across the RTL design flow, prototype quickly, and drive successful prototypes into production use by the broader team
  • Collaborate with a team of hardware and infrastructure engineers to develop best-in-class engineering infrastructure for RTL development
  • Own, refine, and maintain critical tools that ensure successful, high-quality RTL development
  • Team up with multi-disciplinary teams to find new ways to unlock efficiency in RTL development
  • Contribute to silicon debug and product support as needed

Qualifications

  • Verilog/SystemVerilog RTL development within CPU, SoC, ASIC, or related digital-design environments
  • RTL linting, static analysis, design methodology, and code-quality tooling
  • HDL parsers, ASTs, or source-code analysis and transformation tools such as Verible, Slang, Verilator, Surelog, or comparable technologies
  • Building applications or engineering tools using large language models, including RAG, agentic frameworks, tool/function calling, prompt engineering, or related approaches
  • Applying AI coding assistants or agents within engineering-development workflows
  • Evaluating AI-tool quality and reliability through benchmarking, regression testing, or productivity measurement
  • Developing and owning internal engineering tools and automation
  • Strong proficiency with scripting languages such as Python, Perl, Ruby, Shell, and/or TCL
  • Programming experience with languages such as Python, Go, Java, C#, TypeScript, or comparable languages
  • Familiarity with digital-design workflows including synthesis, verification, physical design, place and route, and timing closure
  • Strong problem-solving and debugging skills

Skills

Required:Verilog/SystemVerilog RTL developmentRTL linting and static analysisScripting and programming
Nice to have:HDL parsers and ASTsAI tooling and agentic workflowsAI coding assistants in engineering workflowsDigital-design workflows

Benefits

  • AMD benefits at a glance
Last updated Oct 22, 2026. Interested? Apply on the company site.
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