A

AMD

Designs chips for computers and AI systems

AI Engineer

Hardware Validation & Testing +1Posted on Nov 12
Full-timeNo salary listed

About the Job

Requirements

  • At least 3 years of experience in ASIC/SoC RTL design and/or design verification.
  • At least 1 year of practical experience applying AI/ML or generative AI technologies.
  • Strong knowledge of Verilog/SystemVerilog and RTL design methodologies.
  • Experience with ASIC/SoC development flow, UVM verification, functional coverage, and assertions (SVA).
  • Experience with generative AI/LLMs, prompt engineering, and AI agent workflows.
  • Strong Python programming skills, with experience in Git, Linux, and scripting automation.
  • Familiarity with RAG architectures, MCP tools, and frameworks such as LangChain, LangGraph, AutoGen, or CrewAI.
  • Familiarity with cloud AI platforms and AI-assisted software development tools.
  • A BS or higher degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field; a major in Micro-Electronics, Computer Science, or a related discipline.

Responsibilities

  • Develop and maintain high-quality RTL in Verilog/SystemVerilog for ASIC/SoC products.
  • Participate in architecture definition, microarchitecture development, implementation, and integration.
  • Develop UVM-based verification environments, test plans, testcases, assertions, and coverage models.
  • Debug functional, performance, and integration issues across IP, subsystem, and SoC levels.
  • Develop AI agents and copilots to accelerate RTL design, verification, debug, code review, and productivity workflows.
  • Apply LLMs and Agentic AI technologies to automate tasks such as RTL understanding, test plan and assertion generation, coverage analysis, debug triage, and regression failure root-cause analysis.
  • Build AI-powered engineering workflows using Python, LangChain, MCP, vector databases, and modern GenAI platforms.
  • Collaborate with Architecture, Design, DV, Physical Design, Emulation, Post-Silicon, and Software teams to identify high-impact AI use cases.
  • Drive AI adoption across silicon engineering teams by sharing best practices, methodologies, and reusable AI frameworks.
  • Mentor engineers on AI-assisted design and verification technologies, and measure and report productivity improvements enabled by AI solutions.

Desired Qualifications

  • Experience with industry-standard EDA and simulation/debug tools.
  • Experience with NoC, PCIe, or High-Speed Interface IP development.
  • Experience with synthesis, static timing analysis, and physical design (PD) flows.
  • Experience building AI tools for RTL generation, verification automation, debug acceleration, or coverage closure.
  • Understanding of ML fundamentals, fine-tuning, embeddings, and vector databases.

About the Company

AMD

Designs chips for computers and AI systems

AMD designs processors, graphics chips and AI accelerators for computer makers, cloud operators and businesses that build electronic devices. Its Ryzen processors power personal computers, while EPYC processors handle work in data centers and Radeon chips render graphics. Instinct accelerators run AI models, paired with software that developers use to train models and put them into production. AMD sells chips and related computing systems through equipment makers, distributors and retail channels, and contracts with outside foundries to fabricate its semiconductor designs. It was founded in 1969 and has its headquarters in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1969

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