Software Engineer, ML Infrastructure, Chrome
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of software development experience in one or more general-purpose programming languages (e.g., C++, Java, Python, Go).
- Experience with the software development life-cycle, including testing, deployment, and maintenance.
- Experience contributing to the design of software systems or features, along with working on codebases.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- Experience contributing to code bases like Chromium.
- Experience with machine learning concepts, tools, and frameworks (e.g., TensorFlow, TFLite).
- Experience with ML infrastructure, such as model serving platforms, data pipelines, or ML operations.
- Experience in ML performance, large-scale systems data analysis, ML debugging, LLMs, or specialized areas within ML.
- Knowledge of on-device ML deployment and optimization techniques.
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.
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.Responsibilities
- Build and maintain scalable and reliable ML infrastructure to support on-device and server-side intelligence features in Chrome, contributing to design discussions with guidance from executive engineers.
- Develop and optimize systems for model management, serving, and execution, potentially including components within Google3 (e.g., using Go, C++, Java) and Chromium (C++).
- Collaborate with Chrome feature teams to understand requirements and integrate ML solutions into the Chrome browser.
- Contribute to the design and implement components of larger projects, potentially owning smaller end-to-end tasks under supervision.
- Enhance the performance, efficiency, and monitoring of our ML systems and services, while contributing to code health, system maintainability, and documentation.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.