---
title: Software Engineer, AI Infrastructure, Core at Google
description: Google is hiring for the Software Engineer, AI Infrastructure, Core role in Austin,
  TX. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/software-engineer-ai-infrastructure-core-at-google-01a134bd-aa4f-7353-91b0-d863b62367f7
date: 2026-11-15T01:26:44Z
og_description: Join Google as Software Engineer, AI Infrastructure, Core in Austin, TX. Pays
  $174K–$252K per year. Requires 1+ year of experience.
og_image: https://www.foundrole.com/og/fa9mh1.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [Google](https://www.foundrole.com/companies/google?utm_source=ai_markdown) |
| **Location** | New York, NY |
| **Salary** | $174K/yr - $252K/yr |
| **Posted** | Oct 13, 2026 |

## Is this job real?

**Ghost job check:** B · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** Google sponsors H-1B visas. It filed 9,179 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for Google.

## Pay for similar jobs

Most similar jobs pay $212,000 – $254,000 a year (median $214,000).

## Description

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/).

- 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.

### 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.

- 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.
## Skills

- Decision Making
- Technical Leadership
- Software Design
- High-Throughput Screening
- Agile Velocity
- Artificial Intelligence
- Algorithms
- Software Development
- New Product Development
- Generative AI
- Large Language Models (Llm)
- Computer Engineering
- Computer Science
- Agentic Workflows
- Machine Learning
- Model Serving
- Generative AI Foundations
- Java

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