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Salary
≈ $193k – $353k per year (Estimated)
Location
In office (Sunnyvale)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 14, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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 network is a critical enabler of Google's AI infrastructure. As an Engineering Manager, you will lead a team dedicated to delivering this infrastructure at unparalleled scale, velocity, and reliability. In this role, you will own the technical roadmap for key networking systems, assess architectural trade-offs, and mentor an engineering team. You will be passionate about distributed systems and will build the ultra-fast network fabrics needed to power the next generation of AI.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

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

Learn more about benefits at Google.

Responsibilities

  • Find and understand network delivery bottlenecks (end-to-end), prototype solutions to deliver step function velocity gains and land them in production.
  • Provide technical leadership and influence direction for the team.
  • Define quantifiable metrics for engineering success and ensure high standards for quality and operability across multiple connected teams.

Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++.
  • 5 years of experience with design and architecture; and testing/launching software products.

Preferred qualifications:

  • Experience designing, implementing, and optimizing large-scale, highly available, and fault-tolerant geographically distributed systems.
  • Experience driving long-term technical roadmaps and architectural goals across multiple functional engineering teams, converting highly ambiguous, multi-dimensional business requirements into concrete engineering execution pipelines.
  • Experience coaching, mentoring, and developing technical talent, fostering a culture of engineering excellence, design reviews, and shared operational accountability.
  • Proven track record of building and operating planetary-scale software infrastructure, with expertise in optimizing performance and reliability for algorithmic, graph-based, or highly data-intensive domains.
  • Exceptional communication, negotiation, and mediation skills, with acting as a technical authority to align executives, peer Directors, and disparate engineering teams toward global optimizations rather than localized solutions.
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