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Lead a power design team responsible for TPU power architecture, optimization, and system integration. Define processes and tools to improve power efficiency, drive convergence to power targets, and specify microarchitectural power optimization techniques. Collaborate across software and system teams on novel power management architectures. Requires a bachelor's degree in electrical or computer engineering and 10 years of ASIC or SoC design experience with expertise in power design, modeling, and optimization methodologies.

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Job Description

  • Manage a power design team responsible for power architecture, power optimization and system power integration.
  • Lead an experienced team, define the processes, methods and tools to continuously improve the power efficiency of the TPU designs.
  • Contribute to design power modeling and drive convergence to power targets.
  • Investigate, specify, and deploy architectural and microarchitectural power optimization techniques, defining best practices and methodologies to achieve low-power RTL designs.
  • Collaborate with cross-functional software and system teams to create novel power management architectures to meet power goals.

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 10 years of experience with ASIC or SoC design.
  • Experience with power design, power modeling, power architecture, or power reduction methodologies/techniques.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  • 5 years of experience managing mid-sized ASIC/SOC design teams with focus on power design and optimization.
  • Experience defining and implementing chip-wide power management architectures and designs.
  • Experience 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 Dynamic Voltage and Frequency Scaling (DVFS), Turboing, Thermal Management, and System-Level Tradeoffs).
  • Ability to solve open-ended power and performance problems under ambiguity.
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  • 10 years of experience with ASIC or SoC design.
  • Experience with power design, power modeling, power architecture, or power reduction methodologies/techniques.
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  • Role ASIC Power Manager, ML Accelerators
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

177K – 210K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 18 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
2 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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