ASIC Verification Engineer, AI Networking IP

Job Description ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career. THE ROLE: We are looking for a talented ASIC Verification Engineer to join our team of experts, developing high-performance networking and communications IP for advanced AMD products. You’ll work with a highly motivated team of engineers developing best-in-class verification environments for leading edge AI networking and communications silicon. THE PERSON: You want to develop yours skills in ASIC verification and digital design and join a world class team. You have a passion for continous improvement, and verification in general. You are a team player who has excellent communication skills. You have strong analytical and problem-solving skills and are willing to learn and ready to take on problems. KEY RESPONSIBILITIES:

• Contribute to the development of advanced, re-usable verification environments and IP components
• Investigate and root cause issues found during the IP development stage
• Write tests, sequences, and testbench components in SystemVerilog and UVM to verify the design
• Employ a Coverage-Driven Verification methodology with Constrained Random Stimulus
• Contribute to process improvements via automation of tasks and exploring and evaluating new tools and methodologies
• Drive formal verification for the block and write formal properties and assertions to verify the design

• Understanding of digital design principles
• Understanding of Object Oriented Coding practices
• Experience with SystemVerilog, C or C++ programming languages
• Experience with agentic coding tools such as Claude Code or Codex
• Experience with Python, Perl or other scripting languages is an asset

• Bachelors or Masters degree in computer engineering/Electrical Engineering