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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
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 [https://www.google.com/about/careers/applications/benefits/].
infrastructure, focusing on reducing system complexity and improving reliability.
processing pipelines that extract and transform massive datasets to power advertising serving systems.
team members and ensuring production health.
learning workloads, including offline embedding generation and model inference.
metadata is indexed and served with low latency.
distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
systems, with a focus on scalability, fault tolerance, and reliability.
technical field.
and setting technical direction.
process massive datasets at low latency.
with machine learning infrastructure.
or digital advertising.
production reliability with cross-functional partner teams.
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checked 3 days agoSource: the company job board. We last checked this job 7 days ago. We first saw it 7 days ago. A job on a job board does not always mean that the team interviews people now.
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This base pay is near the median for staff infrastructure, platform and SRE jobs in the Bay Area.
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