Software Engineer, ML Infrastructure, Chrome

Software Engineer, ML Infrastructure, Chrome

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.

Chrome browser's strategy is to become more smarter, personalized, and proactive. That is where our team comes in. The Chrome Intelligence Infrastructure team's goal is to build both GenerativeAI and non-GenerativeAI Machine Learning infrastructure and capabilities to accomplish Chrome's strategy. We build and support the infrastructure and services that enable Chrome feature teams to quickly incorporate intelligence into their solutions, impacting billions of users. This includes on-device ML model delivery and inference, server-side metadata and GenAI services, and data pipelines. We are working on the latest technologies to deliver agentic solutions to users.

Chrome is dedicated to building a better, more open web. We're focused on making a better browser (on both desktop and mobile) to help users take advantage of all the web has to offer in a safe and secure way. Chrome is available across all major platforms iOS, Android, Windows, Mac, Linux and Chrome OS. We also built Chrome as an open source project so the entire web ecosystem could benefit from the latest innovations in speed, simplicity and security.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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