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Power Engineer, PhD, Early Careers

Google

Power Engineer, PhD, Early Careers

Google

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Team events and activities

Competitive salary and equity package

Professional development budget

Parental leave

Comprehensive health, dental, and vision insurance

Equity

Learning

Parental Leave

Healthcare

Required Skills

Node.js

JavaScript

PostgreSQL

About the job

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

  • Provide power engineering insight to design and develop system and subsystem boards for next generation server and storage products that involve new technologies or new uses of multiple existing technologies.

  • Engage cross-functionally to ensure successful roll-out, testing and complete validation.

  • Partner with power industry leaders to lead the evaluation and adoption of the most compelling technologies.

  • Provide technical leadership and direction while troubleshooting complex system level power delivery issues.

  • Provide sustaining engineering support and optimize hardware design on existing products.

Minimum qualifications

  • PhD in Power Electronics, a related discipline, or equivalent practical experience.

  • Experience with power electronics and various power conversion designs for data center power delivery.

  • Experience with power converter modeling and simulation.

Preferred qualifications

  • Experience in power converter design including AC/DC rectifiers, battery backup unit, DC/DC multiphase converters, etc.

  • Experience with data center product hardware and system design.

  • Experience in power system design.

  • Ability to start a full-time role in 2026.

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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