Software Engineer, Cloud AI, Agent Infrastructure
Company: Google
Location: Sunnyvale
Posted on: April 1, 2026
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Job Description:
Minimum qualifications: Bachelor’s degree in computer science,
mathematics, statistics, a related technical field, or equivalent
practical experience. 2 years of experience with software
development in one or more programming languages (e.g., Python,
C++, Java), or 1 year of experience with an advanced degree. 1 year
of experience with one or more of the following: speech/audio
technology, reinforcement learning, or specialization in another ML
field. 1 year of experience with ML infrastructure (e.g., model
deployment, model evaluation, data processing, and debugging).
Experience in writing unit and integration tests to ensure the
accuracy and efficiency of production-level code. Preferred
qualifications: Master's degree or PhD in computer science,
artificial intelligence, or a related technical field. 2 years of
experience with advanced data structures, algorithms, and system
design for high-throughput cloud services. Experience working with
Large Language Models (LLMs), agentic workflows, or frameworks for
autonomous AI agents. Experience building or maintaining services
on distributed cloud platforms (e.g., Google Cloud Platform) and
managing session persistence in stateful applications. Experience
developing accessible technologies or tools that ensure AI-driven
interfaces are usable by a range of users. About the job Google's
software engineers develop the next-generation technologies that
change how billions of users connect, explore, and interact with
information and one another. Our products need to handle
information at massive scale, and extend well beyond web search.
We're looking for engineers who bring fresh ideas from all areas,
including information retrieval, distributed computing, large-scale
system design, networking and data storage, security, artificial
intelligence, natural language processing, UI design and mobile;
the list goes on and is growing every day. As a software engineer,
you will work on a specific project critical to Google’s needs with
opportunities to switch teams and projects as you and our
fast-paced business grow and evolve. We need our engineers to be
versatile, display leadership qualities and be enthusiastic to take
on new problems across the full-stack as we continue to push
technology forward. Google’s Cloud AI team is at the forefront of
the industry’s shift toward agentic AI. The team is building a
platform that empowers developers to create, deploy, and scale the
next generation of intelligent agents. The mission is to bridge the
gap between foundation models and production-grade applications by
providing high-performance infrastructure, flexible development
kits, and session management. By collaborating with research and
product teams across Google, we are defining the standard for AI
agents capable of handling long-running enterprise workflows. The
Google Cloud AI Research team addresses AI challenges motivated by
Google Cloud’s mission of bringing AI to tech, healthcare, finance,
retail and many other industries. 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. We also
collaborate with product teams to bring innovations to real-world
impact that benefits our customers. The US base salary range for
this full-time position is $147,000-$211,000 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 .
Responsibilities Write high-quality product or system development
code for scalable agentic infrastructure, focusing on performance
and reliability in distributed environments. Collaborate with peers
and stakeholders through design and code reviews to ensure best
practices (e.g., style guidelines, checking code in, accuracy,
testability, and efficiency). Contribute to and maintain technical
documentation or educational content; adapt materials based on AI
product updates and developer feedback. Triage system issues and
debug, track, and resolve issues by analyzing the impact on network
performance, service operations, and AI model quality. Implement
solutions in specialized ML areas (e.g., agent orchestration),
utilize ML infrastructure, and contribute to model optimization and
data processing for generative AI.
Keywords: Google, Santa Rosa , Software Engineer, Cloud AI, Agent Infrastructure, IT / Software / Systems , Sunnyvale, California
