Software Engineer, AI Infrastructure, Core

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in Java.
• 3 years of experience testing, maintaining, or launching software products,

and 1 year of experience with software design and architecture.

• 1 year of experience with GenAI techniques (e.g., LLMs,

Multi-Modal, Large Vision Models) or with GenAI-related concepts (language

modeling, computer vision).

• Experience in machine learning infrastructure.

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in Computer Science, or a related technical field.

• 1 year experience in machine learning, generative AI and AI algorithms.
• 1 year of experience in a technical leadership role.

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.

The Core team builds the technical foundation behind Google’s flagship products.

We are owners and advocates for the underlying design elements, developer

platforms, product components, and infrastructure at Google. These are the

essential building blocks for excellent, safe, and coherent experiences for our

users and drive the pace of innovation for every developer. We look across

Google’s products to build central solutions, break down technical barriers and

strengthen existing systems. As the Core team, we have a mandate and a unique

opportunity to impact important technical decisions across the company.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Design, write, and deploy production-grade code for multi-agent workflows,

tool-use orchestration engines, and dynamic decision-making pipelines.

• Deploy AI frameworks and tools, to enable velocity in product development and

scalability of agentic applications that require high-precision and safe

execution under complex real-world conditions.

• Build robust, high-throughput model serving pipelines and real-time execution

environments optimized for latency, reliability, and scale.

• Integrate continuous, data-driven feedback loops into AI development

methodologies. Construct automated testing, continuous evaluation, and

observability frameworks to assess agent coverage, monitor regressions, and

safeguard product quality across end-to-end workflows.

• Adopt and integrate distributed tracing, data lineage architectures, and

telemetry (e.g., OpenTelemetry) into high-volume generative AI data

pipelines.