Software Engineer, Infrastructure AI/ML
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience in designing, building, and maintaining distributed systems or back-end infrastructure.
Preferred qualifications:
- 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 contributing to codebases like Chromium.
- Experience in ML performance, large-scale systems data analysis, ML debugging, LLMs, or specialized areas within ML.
- Experience leading the design and execution of significant technical projects.
- 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
- Design, build, maintain, and optimize scalable and reliable ML infrastructure for on-device and server-side Chrome features, including systems for model management, serving, execution, performance, and monitoring across Google3 (e.g., Go, C++, Java) and Chromium (C++).
- Collaborate with Chrome feature teams to understand requirements, provide guidance, and integrate ML solutions into the Chrome browser.
- Lead the technical design and implementation of complex, multi-quarter projects, making well-reasoned technical decisions to address ambiguous problems.
- Mentor other engineers on the team, fostering their technical growth.
- Contribute to code health, system maintainability, and documentation.
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