Software Engineer AI/ML Networking

Google LLC

Raleigh, NC

JOB DETAILS
SKILLS
Algorithms, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, C++ Programming Language, Cloud Applications, Cloud Computing, Computer Science, Computer Security, Construction, Consulting, Customer/Client Research, Data Modeling, Data Processing, Data Storage, Data Structures, Debugging Skills, Distributed Computing, Documentation, Embedded Operating Systems, English Language, Equal Employment Opportunity (EEO), Financial Services, Genetics, German Language, Google Apps, Government, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Large-Scale Systems, Leadership, Leading Edge Technology, Machine Learning, Natural Language Processing (NLP), Network Administration/Management, Network Design, Network Operations Center, Network Protocols, Operations Management, Organizational Skills, Product Management, Product Programs, Project Development, Project/Program Management, Recruiting/Staffing Agency, Regulatory Requirements, Retail, Sales Management, Software Development, Software Engineering, Stock Purchase Plans, Technical Leadership, Technical Support, Testing, User Interface Design, Vehicle Fleets
LOCATION
Raleigh, NC
POSTED
18 days ago

Software Engineer AI/ML Networking - Google Careers

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Software Engineer AI/ML Networking

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corporate_fareGoogleplaceRaleigh, NC, USA; Durham, NC, USA

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Raleigh, NC, USA; Durham, NC, USA.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 2 years of experience with software development in C++, or 1 year of experience with an advanced degree.

  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

  • 1 year of experience working with embedded operating systems.

  • Experience with network protocol implementation and optimization for high-bandwidth, low-latency environments such as AI/ML clusters.

Preferred qualifications:

  • Master"s degree or PhD in Computer Science or related technical fields.

  • 2 years of experience with data structures and algorithms.

  • Experience developing accessible technologies.

  • Experience with Machine Learning Infrastructure.

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.

Come join Google"s Network Infrastructure Team (within Systems Infrastructure) in the Cloud site in Durham, NC!

In this role, you will work at the hardware-software boundary to bring new solutions to the Google fleet.

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: $147000 - $211000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Write product or system development code.

  • Contribute to existing documentation or educational content and adapt content based on product or program updates and user feedback.

  • Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

  • Build and test software in C++ for use on Google"s ML library solutions, smart NICs and develop next generation AI/ML networking solutions as well as smart NICs at Google, while taking the projects through development into production.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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