Networking AI Technical Lead

Google LLC
Cambridge, MA, United States
25 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$207,000.0 - $300,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence C++ (Programming Language) Data Structures Distributed Systems Design of User Interfaces Push Technology Information Retrieval Natural Language Processing Software Architecture Software Systems Systems Architecture Data Storage Technologies
+2 more
Information Technology Search Engines

Job description

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits, * Provide technical leadership on high-impact projects.

  • Influence and coach a distributed team of engineers.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
  • Manage project priorities, deadlines, and deliverables.
  • Design, develop, test, deploy, maintain, and enhance large scale software solutions.

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.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience programming in C++.
  • 5 years of experience testing, and launching software products.
  • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
  • 3 years of experience with software design and architecture., * Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • 2 years of experience building AI/agentic products, or infrastructure to serve those products, and understanding the trade-offs and challenges necessary in making AI and agentic workloads a success.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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How search engines crawl and process web applications

Martina Kraus Martina Kraus · World Congress 2021

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Building robust data structures with structs and bound functions

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Core functionalities and benefits of web push technology

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Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

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The motivation for building a search engine from scratch

Michele Riva · World Congress 2022

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Evaluating server-side rendering factors for search engine optimization

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