> Markdown version of [/jobs/ext/2028687-software-engineer-iii-ai-ml-ai-and-infrastructure](https://www.wearedevelopers.com/jobs/ext/2028687-software-engineer-iii-ai-ml-ai-and-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer III, AI/ML, AI and Infrastructure

- **Company:** Google LLC
- **Location:** Sunnyvale, TX, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Software Quality, Software Debugging, Python (Programming Language), Machine Learning, Software Engineering, Reinforcement Learning, Data Processing, Google Cloud, Machine Learning Operations, Data Pipelines
- **Published:** August 11, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/software-engineer-iii-ai-ml-ai-and-infrastructure-sunnyvale-tx-usa-58902091

## About the Role

AI-enabled evaluation, and optimization within ML infrastructure * Contribute to development across the full stack for scalable AI systems * Work on projects critical to Google's needs with opportunities to switch teams as the company evolves Tasks * 2 years of experience programming in Python or C++ * 1 year of experience with ML areas (speech/audio, reinforcement learning, ML infrastructure, or related field) * 1 year of experience with ML infrastructure (deployment, evaluation, optimization, data processing, debugging) Key requirements * 12%+ bonus target * equity * comprehensive benefits * career growth opportunities * access to cutting-edge AI technologies * flexible work options

## Description

Experteer Overview As a Software Engineer on Google's AI and Infrastructure team, you will ship scalable AI-enabled systems and contribute to core infrastructure. You'll collaborate across teams to review designs, improve code quality, and help translate research into reliable, production-grade software. You will triage and debug issues impacting hardware, networks, and services, and optimize models and data processing pipelines. This role blends software engineering with ML deployment and infrastructure to power Google Cloud and global services. Compensation / Benefits * Collaborate with peers and stakeholders through design and code reviews to promote best practices * Contribute to existing documentation and adapt content for updates and user feedback * Triage issues, analyze impact, and debug to maintain service quality across hardware, network, and systems * Implement ML solutions and work with ML infrastructure, including model optimization and data processing * Engage in model deployment, evaluation, and optimization within ML infrastructure * Contribute to development across the full stack for scalable AI systems * Work on projects critical to Google's needs with opportunities to switch teams as the company evolves Tasks * 2 years of experience programming in Python or C++ * 1 year of experience with ML areas (speech/audio, reinforcement learning, ML infrastructure, or related field) * 1 year of experience with ML infrastructure (deployment, evaluation, optimization, data processing, debugging) Key requirements * 12%+ bonus target * equity * comprehensive benefits * career growth opportunities * access to cutting-edge AI technologies * flexible work options


## Related Videos

- [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions)
- [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills)
- [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline)
- [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops)
- [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes)
- [Cloud Run- the rise of serverless and containerization](https://www.wearedevelopers.com/videos/106-cloud-run-the-rise-of-serverless-and-containerization)

## Related Articles

- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)