Lead AI & Networking Systems Architect

Google

Cambridge (MA)

On-site

USD 207,000 - 300,000

Full time

2 days ago
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Benefits offered by this job

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Equity
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Job summary

Google is seeking a software engineer to contribute to next-generation technologies at massive scale. You will work on critical projects across compute, storage, networking, and AI domains, with opportunities to lead teams and shape technical direction.

Individual pay is determined by job-related skills, experience, and education. US salary range is $207,000–$300,000 plus a 20% bonus target, equity, and benefits.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

C++ programming
Distributed systems
Large-scale infrastructure
Software design & architecture
Technical leadership

Education

Bachelor's degree or equivalent practical experience
Master’s degree or PhD in Engineering/CS or related field

Job description

Google is seeking a software engineer to contribute to next-generation technologies at massive scale. You will work on critical projects across compute, storage, networking, and AI domains, with opportunities to lead teams and shape technical direction.

Individual pay is determined by job-related skills, experience, and education. US salary range is $207,000–$300,000 plus a 20% bonus target, equity, and benefits.

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