AI Infrastructure Engineer III, Core - High-Impact

Google LLC; Austin, New York (TX, NY); On-site; USD 147,000 - 210,000; Full time

Job summary

Google's AI Infrastructure Core team in Austin is seeking a Software Engineer III to help build the foundational systems behind Google's flagship products. You will work across multiple locations, contributing to core platforms and scalable services that power global-scale AI applications.

The role emphasizes GenAI techniques, ML infrastructure, and multi-language implementation (Python/Go/Java/C++). In-person interviews are common, with preferred locations including Austin, NY, and San Jose.

Qualifications

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

Responsibilities

• Deploy agentic applications using 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.

Skills

GenAI techniques

ML infrastructure

Java

Education

Bachelor's degree or equivalent practical experience

Master's degree

PhD in CS or related field

Tools

Python

Go

Java

C++

Job description

Google's AI Infrastructure Core team in Austin is seeking a Software Engineer III to help build the foundational systems behind Google's flagship products. You will work across multiple locations, contributing to core platforms and scalable services that power global-scale AI applications.

The role emphasizes GenAI techniques, ML infrastructure, and multi-language implementation (Python/Go/Java/C++). In-person interviews are common, with preferred locations including Austin, NY, and San Jose.