About the role
What will you do at Google?
MINIMUM QUALIFICATIONS:
* Bachelor’s degree or equivalent practical experience.
* 5 years of experience with software development in C or C++.
* 3 years of experience developing AI/ML networking solutions and host-
networking stacks.
* 3 years of experience with developing large-scale infrastructure, distributed
systems or networks, or experience with compute technologies, storage or
hardware architecture.
* 3 year of experience working with embedded operating systems.
PREFERRED QUALIFICATIONS:
* Master's degree or PhD in Computer Science or a related technical field.
ABOUT THE JOB:
Google's software engineers develop the next-generation technologies that change
how billions of users connect, explore, and interact with information and one
another. Our products need to handle information at massive scale, and extend
well beyond web search. We're looking for engineers who bring fresh ideas from
all areas, including information retrieval, distributed computing, large-scale
system design, networking and data storage, security, artificial intelligence,
natural language processing, UI design and mobile; the list goes on and is
growing every day. As a software engineer, you will work on a specific project
critical to Google’s needs with opportunities to switch teams and projects as
you and our fast-paced business grow and evolve. We need our engineers to be
versatile, display leadership qualities and be enthusiastic to take on new
problems across the full-stack as we continue to push technology forward.
The NetInfra group is responsible for developing networking infrastructure that
powers Google services and Google Cloud. We design and build efficient data
center networks and end-host networking stacks. We have a rare opportunity to
redefine the host networking technology for the next decade.
As a Software Engineer, you will be passionate about networking and systems
programming. If you are interested in building the next generation host
networking stack and making an impact at Google's scale, this is the team for
you.
Google Cloud accelerates every organization’s ability to digitally transform its
business and industry. We deliver enterprise-grade solutions that leverage
Google’s cutting-edge technology, and tools that help developers build more
sustainably. Customers in more than 200 countries and territories turn to Google
Cloud as their trusted partner to enable growth and solve their most critical
business problems.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Triage product or system issues and debug/track/resolve by analyzing the
sources of issues and the impact on hardware, network, or service operations
and quality.
* Implement and execute testable system solutions; conduct validation of
behavior and suitability of prospective hardware units, prototypes,
emulations, or simulations for use in the Google infrastructure.
* Advance new approaches to leverage offloads efficiently with Google hardware
and software so you can build and test software in C++ for use on Google's ML
Library solutions and Smart NICs.
* Develop next generation AI/ML Networking solutions as well as Smart NICs at
Google, taking the projects through development into production.
Which skills does this role require?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
AI Outcome Customer Engineer, Forward Deployed Engineering
Google · Atlanta, Georgia, United States
Research Engineer, Responsible Frontier AI Research, DeepMind
Google · New York, New York, United States
AI Evaluations Engineer, US Decision Intelligence
Apple · Cupertino, California, United States
Applied AI Design Engineer (100 % remote) (m/f/d)
EWOR · Capon Bridge, West Virginia, United States
AI Risk Engineer
Bright Vision Technologies · Columbus, Ohio, United States
AI Solutions Engineer
Vantage Bank · Fort Worth, Texas, United States
Role information can change. Confirm current details on the original application page.
