AI/ML Silicon Verification Solutions Engineer, Tools

Amd

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$166,400–$249,600 / yr
Posted
88 days ago
Freshness
Confirmed live yesterday
Closes
Jul 31, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $194k
This role $208k
$138k $262k
below market most similar roles pay here above market

This role pays more than 62% of similar roles. Most pay $169,625–$218,375 — the blue band above. At the midpoint, this role pays about $208k versus about $194k for comparable roles.

Based on 240 similar postings.

Employer

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 496 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 496 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

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

AI/ML Silicon Verification Solutions Engineer – Tools will join a world-class engineering team to redefine hardware design verification through Generative AI and intelligent automation. The role focuses on developing and deploying LLM-powered tools, AI agents, and automated workflows to accelerate verification productivity, improve coverage, and enhance debug efficiency. Key responsibilities include refining ML-driven strategies for specification analysis and RTL generation, building agentic frameworks using Model Context Protocol servers, and maintaining high-performance development setups. The engineer will write scalable code for verification infrastructure and data mining while deploying tools across cloud infrastructures like AWS, GCP, Azure, and OCI. Required skills include Python, C/C++, or Object-Oriented Perl, alongside knowledge of SystemVerilog, UVM, Assertions, CI/CD pipelines, Jenkins, GitHub Actions, Git, and Perforce.

What you'll do

  • Develop ML/AI-driven strategies to automate specification analysis, RTL/Testbench generation, and intelligent debug cycles.
  • Build and deploy AI Agents using Model Context Protocol (MCP) servers to connect LLMs with internal engineering tools.
  • Architect and maintain high-performance development setups using AI-native IDEs and extensions.
  • Write clean, scalable, and maintainable code for verification infrastructure, data mining, and internal web frameworks.
  • Deploy AI-driven tools across cloud infrastructures including AWS, GCP, Azure, and OCI.
  • Integrate AI tools into automated CI/CD pipelines to improve verification productivity and design quality.

What we're looking for

  • BS or MS in Electrical Engineering, Computer Science, Computer Engineering, or a related field.
  • Develop and refine ML/AI-driven strategies to automate specification analysis, RTL/Testbench generation, and intelligent debug cycles.
  • Build and deploy AI Agents using Model Context Protocol (MCP) servers to bridge LLMs and internal engineering tools.
  • Write clean, scalable, and maintainable code for verification infrastructure, data mining, and internal web frameworks.
  • Deploy AI-driven tools across cloud infrastructures (AWS, GCP, Azure, OCI) and integrate them into automated CI/CD pipelines.
  • Proficiency in Python, C/C++, or Object-Oriented Perl (preferred).
  • Strong grasp of Object-Oriented Programming (OOP), databases, and web frameworks (preferred).
  • Familiarity with SystemVerilog, UVM, and Assertions (preferred).

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