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About the role
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.
What they're looking for
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience
- 4 years of experience in high-performance ASIC design
- Experience architecting or designing RTL solutions for digital systems
- Experience developing networking IP across one or more layers, such as the media access control (MAC), link (L2), or physical (PHY) layers
- Experience with high-speed interconnects
More about this role
- Collaborate 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.
- Define and document the microarchitecture for complex digital designs within the TPU.
- Write high-quality, performant, and power-efficient RTL code, primarily in SystemVerilog.
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 4 years of experience in high-performance ASIC design.
- Experience architecting or designing RTL solutions for digital systems.
- Experience developing networking IP across one or more layers, such as the media access control (MAC), link (L2), or physical (PHY) layers.
- Experience with high-speed interconnects.
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- 7 years of experience in high-performance ASIC design.
- Experience with IEEE networking standards and applications.
Experience with scripting languages (e.g., Tcl, Python or Perl).
- Understanding of...
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