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System Power Modeling Engineer

Google

System Power Modeling Engineer

Google

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

401(k) matching

Generous paid time off and holidays

Flexible work arrangements

Learning

Flexible Hours

Required Skills

PostgreSQL

TypeScript

React

About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first-party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities

  • Develop system-level power models for battery life projection and analysis across device and subsystem states.

  • Define, develop, or utilize tools and methods for detailed power analysis of subsystems in order to enable use-case level analysis.

  • Collaborate with cross-functional hardware, software, and systems teams to perform power/performance trade-off analysis and optimizations for use-cases.

  • Propose and drive implementation of power optimization features across hardware and software.

  • Participate in power and performance benchmarking of hardware (e.g., System on a chip (SoC), Central Processing Unit (CPU), Graphics Processing Unit (GPU), Power Management Integrated Circuits (PMICs), etc), software (e.g., firmware, kernel, Android/iOS, and more), and applications (e.g., multimedia, Generative AI, etc) across internal and external platforms.

Minimum qualifications

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.

  • 1 year of experience in electrical and computer engineering principals like electronics systems power consumption, power delivery, CPU/GPU operational concepts etc.

  • Experience in programming using Python, SQL or similar languages.

Preferred qualifications

  • Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).

  • 2 years of experience in design, validation or power modeling and optimization of battery powered devices.

  • Experience with power measurement tools such as monsoon, digital multimeter.

  • Experience with Android tools like adb, Systrace, Git.

  • Knowledge of mobile devices including hardware and software with experience in mobile phone hardware subsystems including applications processor, cellular modem, graphics, multimedia, display, memory, Wireless-Fidelity (Wi-Fi).

  • Excellent communication and problem-solving skills.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

3.7

25 reviews

Work Life Balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

63,375 data points

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0 reports

$176,704

total / year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

Interview Experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer Rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview Process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense