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1 Day ago

Network Test Engineer, Machine Learning, Systems, Cloud AI

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Information Technology
Full-Time
Google

Overview

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.

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, OpenFlow).
  • 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.


Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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