> Markdown version of [/jobs/ext/1233671-machine-learning-hardware-architect-tpu](https://www.wearedevelopers.com/jobs/ext/1233671-machine-learning-hardware-architect-tpu). 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).

---

# Machine Learning Hardware Architect, TPU

- **Company:** Google LLC
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Salary:** $192,000.0 - $279,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Computer Engineering, Machine Learning, Systems Integration, Information Technology
- **Published:** July 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9fa4e2f3e733912f

## About the Role

* Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
 * 10 years of experience in computer architecture or hardware engineering.
 * Experience with performance modeling, performance analysis, or hardware-software codesign.
 * Experience leading the architecture and technical direction for hardware or system-level projects., * Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
 * Experience in the architecture of high-performance AI accelerators.
 * Knowledge of system-level integration and deploying complex AI models on sophisticated hardware platforms.
 * Experience driving strategic technical initiatives and mentoring executive technical staff.

## Description

* Develop architectural specifications for next-generation high-performance computing systems.
 * Collaborate with software and systems teams to define requirements for AI workloads.
 * Perform architecture studies and drive performance, scalability, and power efficiency projections.
 * Influence technical roadmaps and provide strategic leadership for hardware-software platforms.
 * Drive cross-functional technical alignment across multiple engineering teams to ensure system-level integration.

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.


## Related Videos

- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [From Model to Metal: An Open Source Stack for Accelerating Intelligence](https://www.wearedevelopers.com/videos/1636-from-model-to-metal-an-open-source-stack-for-accelerating-intelligence)
- [Modern Web Development with Nuxt3](https://www.wearedevelopers.com/videos/294-modern-web-development-with-nuxt3)
- [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai)
- [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down)
- [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success)

## 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)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [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)