Job Description

Minimum qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 4 years of experience with physical design and 3D integration technologies, such as 3D-IC, 2.5D, chip stacking, vertical stacking, Integrity, or Through-Silicon Vias (TSV).
• Experience running industry standard tools for chip design, such as Synopsys, Cadence, Siemens EDA/Mentor Graphics.

Preferred qualifications

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience with Power, Performance, and Area (PPA) design trade-offs and optimizations in physical design spaces.
• Experience with advanced FinFET and gate-all-around (GAA) technology nodes, including enabling physical design flows in these nodes.
• Experience delivering optimized digital place-and-route blocks leading to product tapeouts.
• Experience with programming/scripting (e.g., TCL, Python, or Perl) for design flow automation.
• Understanding of standard cells, SRAMs, power, noise, and IR analysis.

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.

As a Physical Design Engineer, 3D Technology you will collaborate with technology, physical design, circuit design, and hardware architecture teams to overcome the slowing of Moore’s Law while delivering cutting edge ASIC’s and SoC’s. You will help develop new 3D technology physical design methodologies to drive best product PPA by optimizing across technology, digital block implementation, clock distribution, floorplanning, circuits, memories, and third-party IPs.

You will drive new physical design flows that co-optimize across the entire design methodology space–including 3D–and see these through from inception to maturity and tapeout. This will include high impact physical design innovations with Through-Silicon Vias (TSVs) requiring methodology and verification flow development and ratification. As part of this work, you will participate in the development of exceptional technology in high performance computing and ensure product success.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

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

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Drive development of a leading edge 3D technology platform for custom, high performance ASIC’s and SoC’s, from design through manufacturing, packaging, and test.
• Optimize digital blocks for performance, power, area, and reliability using physical design and circuit techniques.
• Define optimal methodologies by investigating performance, power, and area across different technology nodes and implementation techniques.
• Work with our physical design, technology, circuits, and architecture teams plus IP partners in advanced CMOS nodes.
• Design and build custom circuits at the transistor and gate levels to support physical design and floorplan optimization.