Software Engineer AI/ML Networking

Google LLC

Durham, NC

JOB DETAILS
SKILLS
Algorithms, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Artificial Intelligence (AI) Programming Languages, C++ Programming Language, Cloud Computing, Computer Science, Consulting, Customer/Client Research, Data Modeling, Data Processing, Data Storage, Data Structures, Debugging Skills, Distributed Computing, Documentation, Embedded Operating Systems, Engineering Management, English Language, Equal Employment Opportunity (EEO), Federal Government, Field Sales, Genetics, Government, Incident Response, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Japanese Language, Large-Scale Systems, Leadership, Leading Edge Technology, Machine Learning, Natural Language Processing (NLP), Network Administration/Management, Network Architecture/Engineering, Network Design, Network Protocols, Operations Management, Optical Engineering, Optical Networking, Product Programs, Product/Service Launch, Program Planning, Project Development, Project/Program Management, Recruiting/Staffing Agency, Regulatory Requirements, Security Architecture, Software Development, Software Engineering, Startup, Supply Chain Management, Technical Leadership, Technical Support, Telecommunications, Testing, User Interface Design, Vehicle Fleets
LOCATION
Durham, NC
POSTED
30 days ago

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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:

  • Bachelors 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 Googles 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 organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles 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.

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or 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.

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