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Network Test Engineer, Machine Learning, Systems, Cloud AI

Google

Network Test Engineer, Machine Learning, Systems, Cloud AI

Google

placeBengaluru, Karnataka, India

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Health, dental, and vision coverage

Top Tier compensation with equity

Learning and development stipend

Annual team offsites

Flexible PTO policy

Required Skills

PyTorch

SQL

TensorFlow

About the job

Our computational challenges are so big and unique we can't just buy our hardware, we've got to make it ourselves. Our Platforms Team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Networking Test Engineer you make sure that our massive and growing network is operating at its peak potential. You have hands-on experience with complex networking equipment, a deep understanding of networking protocols, test design and implementation chops and a background in IP network design. It's your job to make sure Google's cutting-edge technology can perform at scale.

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

  • Develop, implement, and execute test plans to validate the functionality, performance, and reliability of network hardware (switches/NICs) and software.

  • Develop and maintain automated tests using C++, Python, and other automation frameworks. Demonstrate an understanding of network protocols (e.g., TCP/IP, Ethernet, BGP, gRPC, Open Flow).

  • Utilize industry-standard traffic generation/analysis tools (e.g., Ixia, Spirent) and open-source tools (e.g., TRex, Wireshark) for network system assessment. Debug and help root-cause issues found during testing, analyzing logs and system states, and working with senior engineers or development teams for resolution.

  • Triage, analyze, and report on failures from automated regression test suites. Contribute to the bring-up and maintenance of physical and virtual network test-beds.

  • Collaborate with team members and cross-functional teams on test execution and issue resolution. Document test procedures, test results, and bug reports clearly and concisely.

Minimum qualifications

  • Bachelor’s degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience.

  • 2 years of experience with network equipment and network protocols testing and debugging.

  • Experience in test automation using Python or C++.

  • Experience with test methodologies, writing test plans and creating test cases.

Preferred qualifications

  • Master's degree or PhD in Computer Science, or equivalent practical experience.

  • 2 years of experience in network testing, network automation, or related software test engineering roles.

  • Experience programming in one or more of the following: C++, Python, or Go.

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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%

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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