Lead Power Methodology Analysis Engineer

Advanced Micro Devices, Inc•Santa Clara, CA

About The Position

Develop next-generation power analysis, modeling, and optimization methodologies for complex semiconductor systems. The work spans the design lifecycle from architectural exploration through implementation and silicon validation, with a focus on improving power efficiency, engineering productivity, and informed design decision-making. The role involves developing new methodologies, solving complex technical problems, collaborating across engineering disciplines, and influencing future products and technologies. The engineer is expected to communicate and present technical information effectively, collaborate with colleagues across disciplines and experience levels, mentor others, share knowledge, and contribute to the team’s technical expertise.

Requirements

  • Significant experience in semiconductor design, power analysis, power optimization, performance analysis, or related areas.
  • Strong understanding of modern ASIC and SoC development methodologies.
  • Strong analytical, problem-solving, collaboration, and communication skills.
  • Experience leading complex technical projects and collaborating across teams and disciplines.
  • MS or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent relevant industry experience.
  • This role is not eligible for visa sponsorship.

Nice To Haves

  • Experience in power modeling and estimation.
  • Experience in RTL and architecture-level power analysis.
  • Experience in power-performance optimization.
  • Experience in workload-driven analysis.
  • Experience in physical design power optimization.
  • Experience in silicon power characterization.
  • Experience applying AI/ML to engineering productivity and power optimization.
  • Technical publications, presentations, training, technical documentation, executive briefings, or similar communication forums.

Responsibilities

  • Develop methodologies for power analysis, modeling, correlation, and optimization.
  • Create scalable frameworks, automation, and data-driven solutions for power evaluation and design optimization.
  • Apply advanced analytics and AI/ML techniques to improve engineering workflows and product efficiency.
  • Partner with architecture, design, verification, implementation, software, and silicon teams to address power and performance challenges.
  • Lead technical initiatives spanning multiple projects and engineering disciplines.
  • Contribute to technical innovation through methodologies, patents, publications, internal knowledge sharing, or other appropriate channels.
  • Mentor engineers, share technical knowledge, and help establish effective engineering practices.
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