Google
Software Engineer III, Infrastructure, Vertex Agent Platform
Google, Sunnyvale, California, United States, 94087
Software Engineer III, Infrastructure, Vertex Agent Platform
Join to apply for the Software Engineer III, Infrastructure, Vertex Agent Platform role at Google.
About the Job Vertex Agent Platform team delivers the industry’s leading, enterprise‑ready agent platform that can power real‑world agentic use cases, along with state‑of‑the‑art exemplar agents. We build a high‑code agent development SDK/Kit (also known as ADK), a managed runtime (e.g., Agent Engine) with a suite of managed services (e.g., Session, Memory, ExampleStore, Sandbox, etc.), and an agent inner‑loop server (that brings the high‑ceiling agentic capabilities of Gemini). We also worked with Orcas and GDM model quality teams to upstream the enterprise agentic use cases to our foundation model team. Internally, we partnered with many teams across Google such as Agentspace, CES, AI Studio, Labs, etc. to bring a cutting‑edge, cohesive agent platform that powers use cases such as data‑science agent, research agent, computer‑use agent, etc.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers, and the billions of people who use Google services worldwide.
We prioritize security, efficiency, and reliability across everything we do—from developing our latest TPUs to running a global network—while driving toward shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Google is proud to be an equal‑opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, nationality, 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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide among available technologies.
Design and implement scalable, performant, and compliant managed code execution sandbox service.
Design and implement scalable, performant, and compliant next‑generation agent runtime services.
Partner with the quality team to evaluate and validate the agent features.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large‑scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications
Master’s degree or PhD in Computer Science or related technical fields.
Experience developing large‑scale applications on Cloud.
Experience on AI Agents, embedding models, in‑context learning, evaluation, and open‑source technologies in the Generative AI space (e.g., LangChain).
Experience with Generative AI Agents.
Experience with Python and Java, with excellent coding skills.
Compensation US base salary range for this full‑time position is $141,000‑$202,000 + 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.
Seniority level Not Applicable
Employment type Full‑time
Job function Information Technology and Engineering
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About the Job Vertex Agent Platform team delivers the industry’s leading, enterprise‑ready agent platform that can power real‑world agentic use cases, along with state‑of‑the‑art exemplar agents. We build a high‑code agent development SDK/Kit (also known as ADK), a managed runtime (e.g., Agent Engine) with a suite of managed services (e.g., Session, Memory, ExampleStore, Sandbox, etc.), and an agent inner‑loop server (that brings the high‑ceiling agentic capabilities of Gemini). We also worked with Orcas and GDM model quality teams to upstream the enterprise agentic use cases to our foundation model team. Internally, we partnered with many teams across Google such as Agentspace, CES, AI Studio, Labs, etc. to bring a cutting‑edge, cohesive agent platform that powers use cases such as data‑science agent, research agent, computer‑use agent, etc.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers, and the billions of people who use Google services worldwide.
We prioritize security, efficiency, and reliability across everything we do—from developing our latest TPUs to running a global network—while driving toward shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Google is proud to be an equal‑opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, nationality, 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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide among available technologies.
Design and implement scalable, performant, and compliant managed code execution sandbox service.
Design and implement scalable, performant, and compliant next‑generation agent runtime services.
Partner with the quality team to evaluate and validate the agent features.
Minimum qualifications
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large‑scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications
Master’s degree or PhD in Computer Science or related technical fields.
Experience developing large‑scale applications on Cloud.
Experience on AI Agents, embedding models, in‑context learning, evaluation, and open‑source technologies in the Generative AI space (e.g., LangChain).
Experience with Generative AI Agents.
Experience with Python and Java, with excellent coding skills.
Compensation US base salary range for this full‑time position is $141,000‑$202,000 + 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.
Seniority level Not Applicable
Employment type Full‑time
Job function Information Technology and Engineering
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