Senior Physical Design Engineer

Advanced Micro Devices, IncSanta Clara, CA
Hybrid

About The Position

Join a team developing next-generation AI and high-performance computing silicon. In this role, you will lead and contribute to advanced-node physical design for complex ASIC and SoC products, driving implementation, timing closure, signoff, and design optimization across block, subsystem, and chip-level designs. Working closely with architecture, RTL, CAD, technology, and product engineering teams, you will help deliver high-quality silicon while advancing methodology, automation, and data-driven design solutions that improve power, performance, and area (PPA).

Requirements

  • Hands-on physical design expertise with a strong track record of solving complex implementation and timing challenges on advanced-node designs.
  • Deep technical expertise combined with the ability to provide technical leadership, influence design decisions, mentor engineers, and collaborate effectively across globally distributed teams.
  • Detail-oriented, highly analytical, and thrive in fast-paced environments where ownership and innovation are valued.
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field preferred.
  • Experience with ASIC physical design, implementation, and timing closure.
  • Experience working across block, subsystem, and chip-level design environments.
  • Strong knowledge of static timing analysis, clock-tree synthesis, signoff, and ECO methodologies.
  • Experience with industry-standard implementation tools such as Synopsys ICC2, Fusion Compiler, and/or Cadence Innovus.
  • Experience with timing, power, and signoff tools such as PrimeTime, PrimeTime PX, PrimeShield, RedHawk, Formality, or Conformal.
  • Advanced-node semiconductor design experience, including leading-edge process technologies.
  • Strong scripting and automation skills using TCL, Python, Perl, Pandas, or similar technologies.
  • Experience developing design flows, methodologies, and productivity-enhancing automation.
  • Exposure to machine learning, AI-assisted design optimization, or data-driven engineering workflows.
  • Experience with data analysis, database technologies, and design-quality metrics.

Responsibilities

  • Lead physical design activities across block, subsystem, and chip-level implementations.
  • Drive timing closure, signoff readiness, and PPA optimization for advanced-node designs.
  • Develop and enhance physical design methodologies, design flows, and automation solutions.
  • Perform static timing analysis, variation-aware timing analysis, and clock-tree optimization.
  • Define and execute engineering change (ECO) strategies throughout implementation and signoff.
  • Support formal verification, physical verification, and tapeout preparation activities.
  • Analyze design data and trends to improve design quality, predictability, and efficiency.
  • Collaborate with cross-functional engineering teams to achieve successful silicon delivery.
  • Contribute to AI-assisted and machine learning-driven design optimization initiatives.
  • Troubleshoot complex implementation challenges and develop scalable technical solutions.

Benefits

  • AMD benefits at a glance
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