Engineering Manager, Physical Design

1 Hour ago • 12 Years + • Research & Development • Artificial Intelligence • Product Design • $183,000 PA - $271,000 PA

Job Summary

Job Description

As Engineering Manager, Physical Design, you'll lead a team in designing cutting-edge TPU technology for Google's AI/ML applications. Responsibilities include driving end-to-end physical design of complex subsystems, leading critical analyses (STA, Power/EMIR, Physical Verification), collaborating with other engineering teams, and mentoring your team. You will ensure adherence to project schedules and quality standards, proactively resolving design bottlenecks to meet performance targets. The role demands expertise in physical design methodologies, EDA tools, and HPC designs, with a focus on driving innovation within Google's TPU architecture.
Must have:
  • 12+ years SOC physical design experience
  • 3+ years management experience
  • Expertise in EDA tools and scripting
  • Project management and delivery
  • Floorplanning, Place & Route, STA expertise
Good to have:
  • HPC datapath physical design experience
  • PnR optimization for congestion and routing
  • Strong understanding of industry best practices
  • Relationship building with EDA vendors
  • Analysis of industry trends and technologies
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 12 years of experience in SOC physical design and 3 years of relevant management experience.
  • Experience with physical design methodologies and tool flows.
  • Experience leveraging EDA tools and scripting for design optimization and problem resolution, ensuring designs meet performance and quality requirements.
  • Experience managing multiple projects simultaneously, adapting to evolving design changes, and ensuring on-time delivery of physical design milestones.

Preferred qualifications:

  • Experience in the physical design of custom or semi-custom datapaths tailored for HPC applications.
  • Expertise in implementing and optimizing PnR strategies, with experience in managing congestion and routing challenges inherent to HPC designs.
  • Comprehensive understanding of industry best practices and methodologies in physical design, with ability to adapt and implement them for optimal results in complex SOCs.
  • Ability to build and maintain relationships with EDA tool vendors and technology leaders, influencing tool development and ensuring access to technologies crucial for HPC designs.
  • Ability to survey and analyze industry trends and emerging technologies focusing on architectures and design implications.

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.

Drive the physical realization of cutting-edge subsystems that power Google's critical technical infrastructure. As a Physical Design Manager, you will lead a high-performing team through the complete project lifecycle, from initial concept and planning to fabrication readiness. You will orchestrate complex projects, ensuring seamless execution across all physical design disciplines, including Floorplanning, Place and Route, Static Timing Analysis, EM/IR analysis, Physical Verification, and Logic Equivalence Checking. Beyond project delivery, you'll be a pivotal mentor, fostering career growth and providing strategic guidance to your team.

The ML, Systems & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Drive the end-to-end physical design of complex subsystems, from initial floorplanning and placement to final sign-off, ensuring adherence to project schedules and quality standards.
  • Lead critical analyses including Static Timing Analysis (STA), Power/EMIR analysis, and Physical Verification, proactively identifying and resolving design bottlenecks to meet performance, power, and area targets.
  • Partner with logic design, architecture, and other engineering teams to ensure integration of physical design solutions, resolving dependencies and aligning on design specifications.
  • Provide technical guidance to physical design engineers, fostering a collaborative environment that promotes continuous learning and growth.
  • Drive the adoption of best practices and innovative methodologies in physical design, contributing to the development of efficient workflows and tool flows to enhance productivity and design quality.

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