Signal & Power Integrity Engineer for AI/TPU Hardware

Google LLC

Sunnyvale (CA)

On-site

USD 163,000 - 236,000

Full time

14 days+

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Job summary

Google is seeking a Signal Integrity/Power Integrity Engineer in Sunnyvale to shape AI/ML hardware acceleration and TPU technology. You will lead chip and package design, ensure SI/PI performance, and drive co-design from concept to production within cross-functional teams across hardware and software.

You’ll collaborate with silicon, system, and vendor teams, advancing simulation methodologies and post-silicon validation for next-generation TPU architectures powering AI/ML workloads at scale.

Qualifications

  • Bachelor's degree in Electrical/Computer Engineering or related field, or equivalent practical experience.
  • 8 years of experience in SI/PI design for chip/package or system PCB.
  • Experience with industry SIPI modeling tool chains (HFSS, ADS, Sigrity, Siwave).
  • Experience with lab bring-up, test environments, and characterization for high-speed memory and SerDes.
  • Experience collaborating across chip architecture, physical design, STA, package, and validation teams.
  • Proficiency in Python, MATLAB, or C++ to automate flows and data processing.

Responsibilities

  • Lead SI and PI analysis and optimization for HPC using advanced 2.5D/3D packaging technologies.
  • Collaborate early in product definition to influence chip floorplanning, PDN, nets, and routability tradeoffs.
  • Evaluate high-speed interface IPs and develop memory interfaces across IO PHY, SI/PI, and physical design.
  • Drive post-silicon validation and qualification for NPI while balancing SI/PI performance and DFM constraints.
  • Partner with silicon, system, and vendor teams to develop simulation methodologies for modeling accuracy.

Skills

SI/PI design
Python
MATLAB
C++

Education

Bachelor's degree in EE/CS
Equivalent practical experience

Tools

HFSS
ADS
Sigrity
Siwave

Job description

Google is seeking a Signal Integrity/Power Integrity Engineer in Sunnyvale to shape AI/ML hardware acceleration and TPU technology. You will lead chip and package design, ensure SI/PI performance, and drive co-design from concept to production within cross-functional teams across hardware and software.

You’ll collaborate with silicon, system, and vendor teams, advancing simulation methodologies and post-silicon validation for next-generation TPU architectures powering AI/ML workloads at scale.

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