Google is looking to improve the power efficiency of their TPUs (Tensor Processing Units) which power demanding AI/ML applications, by developing custom silicon solutions and optimizing chip power.
Requirements
- Experience with RTL design using SystemVerilog, Verilog, or similar HDL.
- Experience with power analysis, sign-off, or management.
- Experience with low-power design methodologies or applying power reduction techniques.
- Experience defining and implementing chip-wide power management architectures and designs.
- Expertise in power modeling, measurement, and correlation across the pre- and post-silicon phases.
- Understanding of modern power and thermal management techniques at both the silicon and system levels (including DVFS, Turboing, Thermal Management, and system-level tradeoffs).
- Ability to solve complex, open-ended power and performance problems under ambiguity.
Responsibilities
- Define best practices and methodologies to achieve low-power RTL designs.
- Investigate, specify, and deploy architectural and microarchitectural power optimization techniques.
- Collaborate with cross-functional software and system teams to create novel power management architectures.
- Contribute to design power modeling and drive convergence to power goals.
- Drive power efficiency for our TPU designs, starting from building robust power models to proposing novel power optimization techniques.
- Utilize background in modeling and optimizing chip power, as well as have an understanding of system level power considerations and tradeoffs.
- 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.
Other
- 8 years of experience in silicon design, verification, physical design, or post-silicon validation.
- 10 years of experience in silicon design, verification, physical design, or post-silicon validation.
- The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.
- We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
