Software Engineer III, AI Infrastructure, Core

Google LLC; San Jose (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google LLC is hiring software engineers to design and build next-generation AI-powered systems. You will work on core infrastructure, supporting large-scale AI models, data pipelines, and distributed components that power products used by billions of users.

Responsibilities include deploying agentic AI applications, architecting scalable frameworks, and delivering high-quality code across languages such as Python, Go, Java, or C++.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with GenAI techniques or GenAI concepts.
• 1 year of experience working with Java.
• Experience in machine learning infrastructure.

Responsibilities

• Deploy agentic applications using orchestration techniques to ensure high-precision and safe execution.
• Deploy AI frameworks and tools to enable velocity in product development and scalability.
• Architect and roll out scalable AI orchestration frameworks and data pipelines for production environments.
• Write high-quality, maintainable code (Python, Go, Java, or C++) to build scalable platform abstractions.
• Integrate distributed tracing, data lineage, and telemetry into high-volume AI data pipelines.

Skills

GenAI techniques

Java

ML infrastructure

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Computer Science or related field

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; New York, NY, USA; San Jose, CA, USA.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
• 1 year of experience working with Java.
• Experience in machine learning infrastructure.

Preferred qualifications:

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

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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Deploy agentic applications using innovative orchestration techniques to guarantee high-precision and safe execution under complex real-world conditions.
• 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.
• Architect, construct, and roll out scalable AI orchestration frameworks and AI data pipelines for production-grade validation environments.
• Write high-quality, maintainable code (e.g., in Python, Go, Java, or C++) to build platform abstractions that scale seamlessly across product teams.
• Adopt and integrate distributed tracing, data lineage architectures, and telemetry (e.g., OpenTelemetry) into high-volume generative AI data pipelines.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, 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 .