Minimum qualifications:- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 2 years of experience architecting RTL solutions employing software based construction, instantiation, customization or generation of RTL.
- Experience with industry-standard EDA tools for simulation, synthesis, and power analysis.
Preferred qualifications:- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience with scripting languages (i.e. Tcl, Python or Perl).
- Experience architecting RTL solutions employing software based construction, instantiation, customization and generation of RTL.
- Experience with SOC implementation standards and interfaces (i.e. AXI).
- Experience with CDC, RDC, RTL Linting and LEC.
- Understanding of digital design fundamentals, including synchronous and asynchronous logic, state machines, and bus protocols.
About the jobIn 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 join a team working on SoC-level RTL design for data center accelerators. You will work on top-level RTL, architecture, design and implementation of global communication busses, and integration of complex ASIC designs, as this is a highly cross-functional and central role that will require interactions with numerous ASIC development teams. You will own deliverables to the cross-functional teams (i.e. Physical Design, Verification, Validation, Firmware...) at various project milestones. You will also be directly involved in defining and creating methodologies that enable a highly efficient design environment for all ASIC engineers.
As a Soc Design Engineer on the TPU team, you will be a key contributor to the development of Google's AI accelerators. You will leverage your expertise in digital logic design, computer architecture, and RTL coding to create innovative and efficient hardware solutions. This position offers the opportunity to address challenging technical problems at the forefront of AI hardware, working in a dynamic and collaborative environment.
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 - Define and document the microarchitecture for digital designs within the TPU.
- Develop high-quality, performant, and power-efficient Register Transfer Level (RTL) code, primarily in SystemVerilog.
- Partner with the Verification team to develop test plans, debug RTL, and ensure functional correctness.
- Work closely with the Physical Design team to meet timing, area, power, and manufacturability requirements.
- Contribute to the development and enhancement of design tools, flows, and methodologies.
