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Staff Software Engineer, Infra, Ads Quality Infrastructure, Dynamo, Google Ads

Google, Mountain View, California

Posted pay

$207K–$300K

a year

Location: Mountain View, California
Work type: Onsite
Level: Staff
Posted: 5 days ago
Last check: 2 days ago
Job type: Infra, platform & SRE, Inference & ML systems, ML / AI engineering

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About the job

Minimum qualifications

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience building and developing large-scale infrastructure,

distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.

Experience designing, building, and operating large-scale distributed

systems, with a focus on scalability, fault tolerance, and reliability.

Experience in low-level systems programming languages (e.g., C++ or C).
Experience designing and implementing infrastructure solutions.

Preferred qualifications

Master’s degree or PhD in Engineering, Computer Science, or a related

technical field.

3 years of experience in a technical leadership role leading project teams

and setting technical direction.

Experience in C++ and distributed backend systems architecting solutions that

process massive datasets at low latency.

Experience building data extraction and transformation platforms or working

with machine learning infrastructure.

Experience working across engineering domains including e-commerce, shopping,

or digital advertising.

Experience modernizing legacy architecture, driving migrations, and ensuring

production reliability with cross-functional partner teams.

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.

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/].

Responsibilities

Lead architectural improvements for next-generation incremental data

infrastructure, focusing on reducing system complexity and improving reliability.

Design and build highly scalable systems, architecting distributed data

processing pipelines that extract and transform massive datasets to power advertising serving systems.

Drive software engineering best practices and system design while mentoring

team members and ensuring production health.

Develop and scale frameworks that support artificial intelligence and machine

learning workloads, including offline embedding generation and model inference.

Partner with cross-functional teams to optimize how product and offer

metadata is indexed and served with low latency.

Read the job posting on the Google site

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Source: the company job board. We last checked this job 2 days ago. We first saw it 2 days ago. A job on a job board does not always mean that the team interviews people now.

See total pay at Google on Levels.fyiBase, stock and bonus, as employees report it.

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