Senior Software Engineering Manager, Agentic and UI Automation Experiences
Share Senior Software Engineering Manager, Agentic and UI Automation Experiences
corporatefare_ Google place Mountain View, CA, USA
Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Share Senior Software Engineering Manager, Agentic and UI Automation Experiences
infooutline_
XIn most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
Bachelor's degree, or equivalent practical experience.
8 years of experience programming in C++, Java, Python, Kotlin or Go.
5 years of experience in a technical leadership role.
5 years of experience in a people management or team leadership role.
Experience with machine learning, large language models, Python, and machine learning optimization .
Preferred qualifications:
Master's degree or PhD in machine learning, or 5 years of industry experience in applied machine learning/machine learning research.
Experience with machine learning, large language models, Python, and machine learning optimization.
Expertise in NLP, LLM, computer vision.
Knowledge of android framework.
Strong programming skills in Python, C++.
Passionate and respectful team player, and ability to grow the team, with leadership and collaboration skills, as well as excellent problem-solving and analytical skills.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Our team is transforming Android into the premier AI-powered operating system by integrating agentic capabilities. Leveraging Large Language Models (LLMs) and advanced machine learning, we redefine mobile interactions through agents that fulfill complex user requests via UI automation, tool calling, and hybrid architectures.
In this role, you will manage cutting-edge technical challenges, including building and deploying sophisticated LLM solutions, developing agents that interpret screen content, understand user behavior, and execute actions through APIs, enhancing model efficiency and latency for mobile hardware, and partnering with GDM on pre-training and post-training Gemma models specifically for computer use and tool calling.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
Perform advanced ML modeling with large language models (LLMs).
Develop AI agents that effectively understands user behavior, screen content and use tools/APIs.
Optimize ML models for on-device performance.
Work closely with the GDM, Gemma Frontier, Gemini app, and Android framework teams.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\KnowYourRights\10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .
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.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
