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System Software and Performance Architect, Silicon

Google

System Software and Performance Architect, Silicon

Google

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

Parental leave

Team events and activities

Competitive salary and equity package

Learning

Healthcare

Parental Leave

Equity

Required Skills

Node.js

Python

PostgreSQL

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.

As a System Software and Performance Architect, you will collaborate with talents in Android, Pixel, AI, and CPU teams to develop CPU technologies. Based on the infrastructures and methodologies built, you will explore workloads and CPU design together to provide unique, competitive, and actionable insights for hardware and software co-design. You will build traces and benchmarks to provide a consistent view of the workload for all stakeholders to do performance evaluation. Your work would contribute to enhancing many Google’s products and to the success of Google’s CPU project.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

  • Address complex systems such as bringing up complicated software systems like Android, characterize critical workloads (Chrome, Google Maps, Genshin Impact, Fortnite etc) and identify performance bottlenecks or patterns.

  • Build cutting-edge infrastructure (based on QEMU/Dynamo Rio/Gem5 etc) that makes transformative impact on Google’s next-generation processor design.

  • Write C/C++ code for system-level components.

Minimum qualifications

  • Bachelor's degree in Electrical Engineering, Computer Engineering or Computer Science, emphasizing in Computer Architecture, or equivalent practical experience.

  • 1 year of experience with system software, Kernels or Compiler.

  • Experience with C/C++ and scripting languages (e.g., Java).

Preferred qualifications

  • Experience with various Android software performance tuning and tools.

  • Knowledge of any of the following areas: Linux kernel, Android software stack, Compiler construction (e.g., LLVM, GCC, V8, etc.) and related system tools (e.g., Gem5, QEMU, DynamoRIO).

  • Knowledge of Computer Architecture, ISA and Assembly Language.

  • Excellent problem solving skills, with the ability to work independently.

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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