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Job Description

  • Contribute to design power modeling and drive convergence to power goals.
  • Investigate, specify, and deploy architectural and microarchitectural power optimization techniques.
  • Define best practices and methodologies to achieve low-power 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.
  • 8 years of experience in silicon design or architecture (e.g., logic design, power architecture, performance, 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.
  • 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.
  • 8 years of experience in silicon design or architecture (e.g., logic design, power architecture, performance, or SoC design).
  • Experience with power design, power modeling, power architecture, or power reduction methodologies/techniques.
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  • Role ASIC Power Engineer, ML Accelerators
  • Experience 3-4 years
  • Education Any
  • 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.

All jobs at Google

38 more Hardware Engineer roles in Sunnyvale

Job Overview

Approx. salary range

152K – 321K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 35 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:
3 weeks ago
Job Type
Full Time
Education
Any
Experience
3-4 years

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