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Google

engineering opportunity

Smart NIC Senior Software Engineer, Embedded

The engineer will triage and resolve complex system issues while developing next-generation AI/ML networking solutions and Smart NICs. They are responsible for implementing testable system solutions and advancing approaches to leverage hardware offloads within Google's infrastructure.

Durham, North Carolina, United StatesonsiteFULL_TIME

Posted

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?

CC++Embedded SystemsAI/MLDistributed SystemsHardware ArchitectureData Center NetworksSystem DebuggingSoftware TestingSmart NICPerformance OptimizationLinuxEmbedded SoftwareData CenterSoftware EngineeringPerformance EngineeringValidationPrototypingSimulationGCPMachine Learning

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