Google Inc.
Senior Staff Software Engineer, Agent Protocol, Cloud AI
Google Inc., Sunnyvale, California, United States, 94087
Senior Staff Software Engineer, Agent Protocol, Cloud AI
Google Sunnyvale, CA, USA
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Qualifications
Bachelor’s degree in Computer Science, Mathematics, Applied Statistics, Machine Learning, or equivalent practical experience.
8 years of experience in software development with Python, Java or C++.
5 years of experience leading ML design and optimizing ML infrastructure (model deployment, evaluation, data processing, debugging, fine tuning).
5 years of experience in ML driven workflows, AI based assistants, intelligent agents, agentic frameworks.
3 years of experience with software design and architecture.
Experience conducting applied research to improve the quality and production agents.
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
5 years of experience in platform development in major SaaS vendors.
5 years of experience working with Large Language Models (LLMs).
3 years of experience in a technical leadership role, guiding project teams and technical direction while applying and productionizing large visual, language, and multimodal research.
3 years of experience fine-tuning large models (e.g., supervised, RLHF).
Understanding of data model, API layer, UI and application development environments of at least one of the major SaaS providers.
About the job Google Cloud's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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.
The AI and Infrastructure team works on the world’s toughest problems, redefining what’s possible. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Salary ranges are determined by role, level, location. 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
Drive the design and implementation of multimodal agentic experiences, creating systems that can understand and interact with the world through various modalities.
Define the technical goal and long-term strategy for multi-agent orchestration across disparate data, API and agentic platforms, driving adoption of Gemini, Google Agent Cloud platform.
Design and implement highly scalable evaluations infrastructure and processes to support onboarding and usage of multimodal agentic systems across platforms.
Provide AI expertise to guide the technical relationship with Google’s customers and partners, helping them build large-scale model evaluation for workflows, business applications and agentic solutions on Google Cloud Platform.
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.
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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Apply
Qualifications
Bachelor’s degree in Computer Science, Mathematics, Applied Statistics, Machine Learning, or equivalent practical experience.
8 years of experience in software development with Python, Java or C++.
5 years of experience leading ML design and optimizing ML infrastructure (model deployment, evaluation, data processing, debugging, fine tuning).
5 years of experience in ML driven workflows, AI based assistants, intelligent agents, agentic frameworks.
3 years of experience with software design and architecture.
Experience conducting applied research to improve the quality and production agents.
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
5 years of experience in platform development in major SaaS vendors.
5 years of experience working with Large Language Models (LLMs).
3 years of experience in a technical leadership role, guiding project teams and technical direction while applying and productionizing large visual, language, and multimodal research.
3 years of experience fine-tuning large models (e.g., supervised, RLHF).
Understanding of data model, API layer, UI and application development environments of at least one of the major SaaS providers.
About the job Google Cloud's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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.
The AI and Infrastructure team works on the world’s toughest problems, redefining what’s possible. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Salary ranges are determined by role, level, location. 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
Drive the design and implementation of multimodal agentic experiences, creating systems that can understand and interact with the world through various modalities.
Define the technical goal and long-term strategy for multi-agent orchestration across disparate data, API and agentic platforms, driving adoption of Gemini, Google Agent Cloud platform.
Design and implement highly scalable evaluations infrastructure and processes to support onboarding and usage of multimodal agentic systems across platforms.
Provide AI expertise to guide the technical relationship with Google’s customers and partners, helping them build large-scale model evaluation for workflows, business applications and agentic solutions on Google Cloud Platform.
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.
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