mid Software Engineer ic · Posted Apr 17, 2026
$147,000 – $211,000
USD per year

About this role

Google is hiring a mid-level Software Engineer based in Sunnyvale, CA | New York City, NY. The posting calls out experience with Python, C, Linux, Networking. Compensation is listed at $147,000–$211,000 per year.

Role
Software Engineer
Function
software engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Sunnyvale, CA | New York City, NY
Posted
Apr 17, 2026

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Job description

from Google careers

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.

In this role, you will be responsible for growing and maintaining the control plane networking infrastructure that powers Google's data centers across the globe. This involves solving some of the hardest problems in distributed systems (scaling, availability, efficiency), ensuring network fundamentals. The Control Plane Networking (CPN) team is responsible for scaling the out-of-band infrastructure for network devices responsible for bootstrapping and ongoing management of Google's data centers. As part of this team, you will be actively working on key programs enabling networking scaling for ML spurred by recent AI growth.

This is an excerpt. Read the full job description on Google careers →
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