AI/ML Silicon Verification Solutions Engineer - Hardware
Role details
Job location
Tech stack
Job description
We are seeking an innovative and highly motivated Design Verification Engineer to join our growing team and help redefine how verification is performed at AMD. In this role, you will work with a world-class engineering team to drive the delivery of industry-leading silicon technologies with the highest levels of quality and reliability.
This position is ideal for an engineer who is passionate about transforming hardware design verification through Generative AI and intelligent automation. You will play a key role in developing and deploying LLM-powered tools, AI agents, and automated workflows that accelerate verification productivity and improve coverage, debug efficiency, and overall design quality., * AI-Enhanced Verification:Develop and refine ML/AI-driven strategies to automate specification analysis, RTL/Testbench generation, and intelligent debug cycles.
- Agentic Frameworks:Build and deploy sophisticated AI Agents usingModel Context Protocol (MCP)servers to bridge the gap between LLMs and internal engineering tools.
- Modern Dev Environment:Architect and maintain high-performance development setups utilizing AI-native IDEs and extensions.
- Software Design:Write clean, scalable, and maintainable code for verification infrastructure, data mining, and internal web frameworks.
- Cloud & DevOps:Deploy AI-driven tools across cloud infrastructures (AWS, GCP, Azure, OCI) and integrate them into automatedCI/CDpipelines, AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
Requirements
The ideal candidate is a curious, forward-thinking engineer with a passion for applying AI/ML technologies to complex engineering problems, particularly within hardware design verification.
You thrive in collaborative environments and enjoy working across multi-site engineering teams to solve challenging technical problems. You bring strong analytical thinking, excellent communication skills, and a willingness to explore new technologies that can improve engineering workflows and productivity.
You are excited by the opportunity to push the boundaries of verification methodologies by leveraging modern AI techniques and automation., * Programming:Proficiency inPython, C/C++,orObject-Oriented Perl.
- Core Concepts:Strong grasp ofObject-Oriented Programming (OOP), databases, and web frameworks.
- Hardware Knowledge:Familiarity with hardware description and verification languages such asSystemVerilog, UVM,andAssertions.
- Cloud Platforms:Knowledge of deploying tools inAWS, GCP, Azure,orOCI.
- DevOps:Understanding ofCI/CDworkflows usingJenkinsorGitHub Actions.
- Version Control:Competency withGitorPerforce.
- Communication:Excellent verbal and written communication skills; ability to present complex AI methodologies clearly to diverse teams.
ACADEMIC CREDENTIALS:
- Education:BS or MS in Electrical Engineering, Computer Science, Computer Engineering, or a related field.