AI/ML Silicon Verification Solutions Engineer, Tools

Amd

Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Posted
107 days ago
Closes
Mar 12, 2027

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How this pay compares to similar roles

Similar $196k
$136k most similar roles pay here $252k

This listing doesn't post a salary. Most similar roles pay $167,467–$224,893.

Based on 240 similar postings.

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About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 56 open roles on FindRole.

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At a glance

TL;DR · AI/ML Silicon Verification Solutions Engineer, Tools

As an innovative Design Verification Engineer at AMD, you will join a world-class team to develop and deploy AI-powered tools that enhance hardware design verification. Your daily tasks include refining ML-driven strategies for automation in specification analysis and RTL/Testbench generation, building agentic frameworks using Model Context Protocol servers, and architecting high-performance development environments with AI-native IDEs. You will also write maintainable code for verification infrastructure and integrate AI-driven tools into CI/CD pipelines across cloud platforms like AWS and GCP. Ideal candidates have expertise in Python, C/C++, Object-Oriented Perl, SystemVerilog, UVM, and Assertions, along with a strong understanding of DevOps practices and version control systems. This role requires a passion for applying AI to complex engineering challenges and the ability to collaborate effectively across multi-site teams.

What you'll do

  • Develop and refine ML/AI-driven strategies for automating verification processes.
  • Build and deploy AI Agents using Model Context Protocol (MCP) servers.
  • Architect high-performance development setups utilizing AI-native tools.
  • Write clean, scalable code for verification infrastructure and internal web frameworks.
  • Deploy AI-driven tools across cloud infrastructures and integrate into CI/CD pipelines.

What we're looking for

  • Experience developing AI/ML-driven strategies for hardware design verification.
  • Proficiency in Python, C/C++, and Object-Oriented Perl programming languages.
  • Strong knowledge of SystemVerilog, UVM, and assertions for hardware verification.
  • Ability to build and deploy AI agents using Model Context Protocol (MCP) servers.
  • Expertise in deploying tools on cloud platforms like AWS, GCP, Azure, or OCI.
  • Understanding of CI/CD workflows and experience with Jenkins or GitHub Actions.
  • Excellent communication skills for presenting complex AI methodologies.

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