Silicon Verification Solutions Engineer, AI/ML Tools

Amd

Confirmed live yesterday High trust
Hybrid

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $208k
$127k most similar roles pay here $263k

This role pays more than 70% of similar roles. Most pay $160,000–$215,300 — the shaded band above. At the midpoint, this role pays about $208k versus about $188k 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 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

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

Silicon Verification Solutions Engineer – AI/ML Tools will join a world-class engineering team to redefine hardware design verification through Generative AI and intelligent automation. The role focuses on building the next generation of AI-assisted and self-verifying environments by developing LLM-powered tools, agentic frameworks using Model Context Protocol servers, and automated workflows to improve coverage and debug efficiency. Day-to-day responsibilities include refining ML-driven strategies for RTL/Testbench generation, architecting high-performance development setups with AI-native IDEs, and writing scalable code for verification infrastructure and data mining. The position requires proficiency in Python, C/C++, or Object-Oriented Perl, alongside knowledge of SystemVerilog, UVM, Assertions, and Git. Candidates will also deploy tools across cloud infrastructures like AWS, GCP, Azure, or OCI while integrating them into CI/CD pipelines using Jenkins or GitHub Actions to solve complex semiconductor verification challenges.

What you'll do

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

What we're looking for

  • BS or MS in Electrical Engineering, Computer Science, Computer Engineering, or a related field.
  • Proficiency in Python, C/C++, or Object-Oriented Perl.
  • Strong grasp of Object-Oriented Programming (OOP), databases, and web frameworks.
  • Familiarity with hardware description and verification languages including SystemVerilog, UVM, and Assertions.
  • Knowledge of deploying tools across cloud platforms such as AWS, GCP, Azure, or OCI.
  • Understanding of CI/CD workflows using Jenkins or GitHub Actions.
  • Competency with version control systems like Git or Perforce.
  • Excellent verbal and written communication skills to present complex AI methodologies.

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