Google Inc.
Overview
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. By applying, you will have the opportunity to share your preferred working location from Seattle, WA, USA; Mountain View, CA, USA. 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 (Go, C++, Java) and Chromium (C++). 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. 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. Salary and Benefits
The US base salary range for this full-time position is $166,000-$244,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed reflect the base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google. Equal Opportunity
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. English proficiency is a requirement for all roles unless stated otherwise in the job posting. Google does not accept agency resumes and is not responsible for fees related to unsolicited resumes.
#J-18808-Ljbffr
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. By applying, you will have the opportunity to share your preferred working location from Seattle, WA, USA; Mountain View, CA, USA. 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 (Go, C++, Java) and Chromium (C++). 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. 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. Salary and Benefits
The US base salary range for this full-time position is $166,000-$244,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed reflect the base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google. Equal Opportunity
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. English proficiency is a requirement for all roles unless stated otherwise in the job posting. Google does not accept agency resumes and is not responsible for fees related to unsolicited resumes.
#J-18808-Ljbffr