Design Verification Engineer Job Listing at AMD in Bengaluru, KA (Job ID 77911-en-us)

Description

WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  

Artificial Intelligence Design Engineer 2 (DE2)

Team–: AMD Infinity Fabric

Role Overview

As an AI Design Engineer 2 (DE2) in an AMD IP organization, you will design and deploy AI-driven tools, workflows, and automation frameworks that enhance RTL design and verification productivity, quality, and turnaround time.

This role sits parallel to RTL and Verification teams, focusing on AI-assisted engineering solutions, process optimization, and intelligent automation, rather than direct hardware design or verification.

Key Responsibilities

AI Tools & Automation Development

• Design and implement AI/ML-based tools to support:
• RTL development workflows
• Design verification productivity
• IP quality and signoff readiness
• Develop solutions for:
• Intelligent lint triage
• CDC/RDC issue classification
• Regression failure clustering and root-cause analysis
• Log analysis and anomaly detection

AI for Engineering Productivity

• Apply machine learning and LLM-based techniques to:
• Analyze RTL, testbenches, and tool outputs
• Recommend fixes or optimizations
• Automate repetitive engineering tasks
• Create context-aware AI assistants for RTL/DV engineers

Process & Infrastructure Integration

• Integrate AI solutions into:
• Existing EDA flows
• CI/CD pipelines
• Regression and build systems
• Work closely with:
• RTL designers
• DV engineers
• CAD/IT and methodology teams
• Ensure tools are scalable, robust, and secure for enterprise use

Data Engineering & Model Enablement

• Build and maintain datasets from:
• Simulation logs
• Lint/CDC reports
• Coverage databases
• Version control systems
• Select, train, fine-tune, or adapt models for:
• Classification
• Clustering
• Natural language understanding of hardware artifacts

Evaluation & Adoption

• Define metrics to measure:
• Productivity improvement
• Quality gains
• Reduction in debug time
• Drive adoption through:
• Documentation
• Training
• Feedback-driven iteration

Required Qualifications

Education

• B.E./B.Tech or M.E./M.Tech in:
• Computer Science
• Electrical / Electronics Engineering
• Data Science / AI (with strong systems background)

Experience

• 2–5 years of experience in:
• AI/ML tools development or
• EDA automation / methodology engineering or
• Software engineering for hardware teams
• Hands-on exposure to RTL or Verification workflows (user-level understanding)

Technical Skills

• Strong programming skills in:
• Python (primary)
• C++ or Java (preferred)
• Experience with:
• Machine learning / NLP techniques
• LLM APIs or fine-tuning workflows
• Familiarity with:
• RTL (SystemVerilog) and DV concepts (UVM) — conceptual, not design-level
• EDA tool outputs and flows
• Experience with:
• Data processing, feature engineering
• Model evaluation and iteration

Preferred / Nice-to-Have Skills

• Experience building:
• AI copilots for engineering teams
• Log intelligence or analytics platforms
• Knowledge of:
• Lint / CDC / STA / Simulation flows
• Regression infrastructure
• Exposure to:
• MLOps
• CI/CD systems (Jenkins, GitLab)
• Understanding of:
• IP reuse and signoff processes

Soft Skills

• Strong problem-solving mindset
• Ability to translate engineering pain points into AI solutions
• Comfortable working across design, verification, CAD, and IT
• Clear communication with both hardware and software teams
• #LI-BM2

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD's “Responsible AI Policy” is available here.

This posting is for an existing vacancy.