Google

Senior ASIC Power Delivery Engineer

Google$163K — $237K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 8+ years in technical roles focusing on physical design, power delivery, and advanced process technologies.
  • Proven experience in power grid integrity analysis including electromigration and IR drop verification.
  • Familiarity with place and route, electromigration, IR drop tools, and design rule checks.
  • Preferred: Advanced degree (Master's or PhD) with a focus on computer architecture.
  • Preferred: Experience with power grid design optimization and collaboration with architecture teams.
  • Preferred: Knowledge of low power design techniques such as dynamic voltage frequency scaling.

Responsibilities

  • Drive early-stage analysis of process and metal stacks to inform power architecture design.
  • Deliver efficient power grid designs for various power domains and custom blocks.
  • Optimize co-design of through-silicon vias and power grids in 3D stacked dies.
  • Collaborate across teams to ensure optimal design integration and routing.
  • Finalize power grid designs to meet key project milestones including rule check cleanups.

Benefits

  • Remote work flexibility and opportunities for in-office collaboration.
  • Access to innovative projects that shape future technology.
  • Career development programs and educational resources.
  • Comprehensive health and wellness programs for physical and mental well-being.
  • Employee equity options and performance-based bonuses.
Full Job Description
Minimum qualifications:
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 8 years of technical experience in physical design disciplines involving power delivery and advanced process technology nodes.
  • Experience with power grid integrity (electromigration and IR drop) from budgeting to analysis to verification and signoff.
  • Experience with place and route tools, electromigration and IR drop tools, and design rule check tools.

Preferred qualifications:
  • Master's degree or PhD in electrical engineering, computer engineering, or computer science, with an emphasis on computer architecture.
  • Experience owning power grid design working with physical design or implementation and architecture owners.
  • Experience establishing voltage budgets and drop mitigation for new projects working with a power delivery network team.
  • Experience with through-silicon via planning and 3D stack designs.
  • Familiarity with low power design techniques (e.g., unified power format, dynamic voltage frequency scaling).


About the job
In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
In this role, you will collaborate with physical design, circuits, technology, and package leads to overcome the slowing of Moore's law in advanced technology nodes and deliver application-specific integrated circuits and systems on a chip. You will drive reliable products by optimizing, analyzing, customizing, and verifying power delivery networks to meet performance and integrity specifications. You will perform technical evaluations of process nodes, metal stacks, electronic design automation tools, and intellectual properties, and provide recommendations. You will develop power delivery and reliability solutions and methodologies that co-optimize across the entire design space, then see these through from inception to maturity and tapeout.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $237000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • Drive early process and metal stack analysis, influencing power architecture, including unique power rails, domain boundaries, block pitch, through-silicon via plans, routing resources, and voltage budgets.
  • Deliver power grid designs for all power domains and intellectual properties, meeting power density and integration requirements, including custom power grids for power-critical blocks.
  • Optimize through-silicon via and power grid co-design on 3D stacked dies, ensuring design rule check cleanliness, maximize routing resources, incorporating metal-insulator-metal insertion, and augmenting power grids to improve electromigration and IR drop.
  • Collaborate with clock, full-chip, physical design flow owners, and package, bump, and redistribution layer designers to co-optimize designs and accommodate top-level routes.
  • Stabilize and finalize power grid designs aligned to project milestone requirements, including comprehensive design rule check clean-up.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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