Google Inc.
Staff Software Engineer, AI/ML GenAI, Google Cloud
Google Inc., Sunnyvale, California, United States, 94087
Staff Software Engineer, AI/ML GenAI, Google Cloud
Sunnyvale, CA, USA
Overview Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Lead the architectural design and implementation of the backend services for the Agentic AI platform, built on an event-driven framework.
Build the Agent API, the foundational layer that provides the design and execution environment for next-generation agents, abstracting away the complexities of Google Cloud Platform for the users.
Develop the infrastructure for multi-agent orchestration and communication, enabling specialized agents to work together to achieve goals.
Create the core systems for analysis, allowing agents to ingest and reason over data from various sources in real time, from Enterprise Resource Planning and Customer Relationship Management to unstructured documents and emails.
Implement foundational capabilities for agent tool use and reasoning, allowing agents to autonomously interact with APIs, databases, and other applications to accomplish their tasks while working on-site at our Sunnyvale, CA office five days per week.
Qualifications
Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or GenAI-related concepts (language modeling, computer vision).
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures or algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in an organization involving cross-functional, or cross-business projects.
Compensation The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.
Please note that the compensation details listed in US role postings 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.
Google is a global company and 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.
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Overview Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Lead the architectural design and implementation of the backend services for the Agentic AI platform, built on an event-driven framework.
Build the Agent API, the foundational layer that provides the design and execution environment for next-generation agents, abstracting away the complexities of Google Cloud Platform for the users.
Develop the infrastructure for multi-agent orchestration and communication, enabling specialized agents to work together to achieve goals.
Create the core systems for analysis, allowing agents to ingest and reason over data from various sources in real time, from Enterprise Resource Planning and Customer Relationship Management to unstructured documents and emails.
Implement foundational capabilities for agent tool use and reasoning, allowing agents to autonomously interact with APIs, databases, and other applications to accomplish their tasks while working on-site at our Sunnyvale, CA office five days per week.
Qualifications
Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or GenAI-related concepts (language modeling, computer vision).
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures or algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in an organization involving cross-functional, or cross-business projects.
Compensation The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.
Please note that the compensation details listed in US role postings 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.
Google is a global company and 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.
#J-18808-Ljbffr