Google Inc.
Staff Software Engineer, Generative AI, Google Cloud AI
Google Inc., Mountain View, California, us, 94039
Staff Software Engineer, Generative AI, Google Cloud AI
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.Minimum Qualifications:
Bachelor's degree or equivalent practical experience.8 years of experience in software development, and with data structures/algorithms.5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.5 years of experience with front-end frameworks, full-stack development, or API development.Experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.Experience in Generative AI (e.g., Large Language Models, Multi-Modal, Large Vision Models).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.3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects.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.The Google Cloud AI Research team tackles AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.Responsibilities:
Provide technical leadership on high-impact projects. Influence and coach a distributed team of engineers.Facilitate alignment and clarity across teams on goals, outcomes, and timelines.Manage project priorities, deadlines, and deliverables.Design, develop, test, deploy, maintain, and enhance large-scale software solutions.Work closely with our Research teams as well as ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques, integration with existing workflows, and user interfaces, and supporting user adoption.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.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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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.Minimum Qualifications:
Bachelor's degree or equivalent practical experience.8 years of experience in software development, and with data structures/algorithms.5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.5 years of experience with front-end frameworks, full-stack development, or API development.Experience with machine learning algorithms and tools (e.g. TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.Experience in Generative AI (e.g., Large Language Models, Multi-Modal, Large Vision Models).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.3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects.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.The Google Cloud AI Research team tackles AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.Responsibilities:
Provide technical leadership on high-impact projects. Influence and coach a distributed team of engineers.Facilitate alignment and clarity across teams on goals, outcomes, and timelines.Manage project priorities, deadlines, and deliverables.Design, develop, test, deploy, maintain, and enhance large-scale software solutions.Work closely with our Research teams as well as ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques, integration with existing workflows, and user interfaces, and supporting user adoption.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.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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