AI/ML Silicon Verification Solutions Engineer – Tools in San Jose, California | Advanced Micro Devices, Inc

Amd

Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Salary
$141,760–$141,760 / yr
Posted
93 days ago
Closes
Mar 12, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $142k
$131k most similar roles pay here $241k

This role pays less than 91% of similar roles. Most pay $170,621–$226,450 — the shaded band above. At the midpoint, this role pays about $142k versus about $199k 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 65 open roles on FindRole.

Listed pay typically runs $188,000–$188,000 across 65 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · AI/ML Silicon Verification Solutions Engineer – Tools in San Jose, California | Advanced Micro Devices, Inc

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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