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Software Engineer, Cloud HPC and Accelerator Networking

Google

Software Engineer, Cloud HPC and Accelerator Networking

Google

·

On-site

·

Full-time

·

1w ago

  • Provide technical leadership on high-impact projects.

  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.

  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

  • Lead the specification, design, and delivery of the networking experience for the next generation of these accelerator machines in Google Compute Engine (GCE).

  • Drive critical, high-impact, revenue-attached products and features.

  • Bachelor's degree or equivalent practical experience.

  • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.

  • 5 years of experience testing, and launching software products.

  • 3 years of experience with software design and architecture.

  • Experience with Cloud compute platforms (Kubernetes, Cloud Functions).

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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

57,502 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 per 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