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Product Engineer, ARM/ML Servers and Storage Systems

Google

Product Engineer, ARM/ML Servers and Storage Systems

Google

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Parental leave program

Learning and development stipend

Annual team offsites

Remote work flexibility

Flexible PTO policy

Required Skills

SQL

PyTorch

TensorFlow

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.

This position requires onsite client-facing work in Guadalajara.

Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. Our Mechanical Product Design Engineering Team members work cross-functionally to design, build, and deploy the latest technology to support the needs of compute, storage, networking, and machine learning hardware.

Responsibilities

  • Apply Root Cause Corrective Action (RCCA) fundamentals and collaborate with teams to help them understand and apply RCCA tools and principles and analyze/understand failure to resolve issues.

  • Define and execute data collection activities for high complexity technical issues.

  • Drive process design, optimization, and qualification activities of a manufacturing process for a component, part, or product.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 5 years of hardware, design and bring-up, and NPI experience.

Preferred qualifications

  • Master's degree in Engineering or related field.

  • 6 years of experience in hardware architecture, board design, board bring-up, devices and interconnects.

  • 5 years of experience overseeing yield improvements and cycle time reductions for high volume and high complexity parts.

  • Experience overseeing yield improvements and cycle time reductions for high volume and high complexity parts.

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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