Google Inc.
corporate_fare
Google
place
Sunnyvale, CA, USA Experience and Qualifications
Own outcomes and decision-making, solve ambiguous problems, influence stakeholders; deep expertise in domain. Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) and related concepts (language modeling, computer vision), speech/audio technologies, ML infrastructure, or distributed systems. 5 years of experience in ML design, model deployment, evaluation, data processing, debugging, and fine-tuning. 5 years of experience testing and launching software products. 3 years of experience in software design and architecture. Preferred Qualifications
Master’s degree or PhD in Engineering, Computer Science, or related field. 8 years of experience with data structures and algorithms. 3 years in a technical leadership role leading project teams and setting technical direction. 3 years working in complex, matrixed organizations with cross-functional projects. About the Job
Google's software engineers develop next-generation technologies that change how billions connect, explore, and interact with information. Our products handle massive-scale information beyond web search, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, AI, natural language processing, UI design, and mobile. As a software engineer, you will work on critical projects with opportunities to switch teams and projects. We seek versatile engineers with leadership qualities eager to tackle new challenges across the full-stack to advance technology. About Project Agentis
Our team, Project Agentis, aims to move AI from thinking and reasoning to actively doing so by building enterprise-grade AI agents that execute core business outcomes across functions like sales, procurement, and finance. We are also developing Polysynth, a no-code platform enabling non-technical users to create, deploy, and manage AI agents. About Google Cloud AI Research
Our team addresses AI challenges aligned with Google Cloud’s mission to bring AI to various industries, focusing on research that maximizes scientific and real-world impact, pushing AI state-of-the-art, and collaborating with product teams to bring innovations to customers. The US base salary range for this full-time role is $197,000-$291,000 plus bonus, equity, and benefits. Salary is determined by role, level, location, skills, experience, and education. Specific salary details will be shared during hiring. Responsibilities
Build user-facing components and interfaces for the Agent API, enabling users to design and manage AI agents, with rapid prototyping and full-stack development. Develop core functionalities for multi-agent orchestration, real-time data analysis, and autonomous tool use, allowing agents to reason over and act on enterprise data. Ensure transparency and trustworthiness of agent actions through monitoring, logging, and explainability features, collaborating with Google DeepMind and other teams. Explore and implement new AI/ML technologies to solve ambiguous problems with high reliability and performance. Google is an equal opportunity employer committed to diversity, inclusion, and creating a culture of belonging. We prohibit discrimination based on race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or related conditions. English proficiency is required for all roles to facilitate global collaboration. Google does not accept agency resumes and is not responsible for fees related to unsolicited resumes.
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place
Sunnyvale, CA, USA Experience and Qualifications
Own outcomes and decision-making, solve ambiguous problems, influence stakeholders; deep expertise in domain. Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) and related concepts (language modeling, computer vision), speech/audio technologies, ML infrastructure, or distributed systems. 5 years of experience in ML design, model deployment, evaluation, data processing, debugging, and fine-tuning. 5 years of experience testing and launching software products. 3 years of experience in software design and architecture. Preferred Qualifications
Master’s degree or PhD in Engineering, Computer Science, or related field. 8 years of experience with data structures and algorithms. 3 years in a technical leadership role leading project teams and setting technical direction. 3 years working in complex, matrixed organizations with cross-functional projects. About the Job
Google's software engineers develop next-generation technologies that change how billions connect, explore, and interact with information. Our products handle massive-scale information beyond web search, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, AI, natural language processing, UI design, and mobile. As a software engineer, you will work on critical projects with opportunities to switch teams and projects. We seek versatile engineers with leadership qualities eager to tackle new challenges across the full-stack to advance technology. About Project Agentis
Our team, Project Agentis, aims to move AI from thinking and reasoning to actively doing so by building enterprise-grade AI agents that execute core business outcomes across functions like sales, procurement, and finance. We are also developing Polysynth, a no-code platform enabling non-technical users to create, deploy, and manage AI agents. About Google Cloud AI Research
Our team addresses AI challenges aligned with Google Cloud’s mission to bring AI to various industries, focusing on research that maximizes scientific and real-world impact, pushing AI state-of-the-art, and collaborating with product teams to bring innovations to customers. The US base salary range for this full-time role is $197,000-$291,000 plus bonus, equity, and benefits. Salary is determined by role, level, location, skills, experience, and education. Specific salary details will be shared during hiring. Responsibilities
Build user-facing components and interfaces for the Agent API, enabling users to design and manage AI agents, with rapid prototyping and full-stack development. Develop core functionalities for multi-agent orchestration, real-time data analysis, and autonomous tool use, allowing agents to reason over and act on enterprise data. Ensure transparency and trustworthiness of agent actions through monitoring, logging, and explainability features, collaborating with Google DeepMind and other teams. Explore and implement new AI/ML technologies to solve ambiguous problems with high reliability and performance. Google is an equal opportunity employer committed to diversity, inclusion, and creating a culture of belonging. We prohibit discrimination based on race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or related conditions. English proficiency is required for all roles to facilitate global collaboration. Google does not accept agency resumes and is not responsible for fees related to unsolicited resumes.
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