Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Build intelligent software solutions that optimize our data center hardware and processes.
In this role, you will go beyond traditional software engineering by building autonomous AI agents and advanced analytics pipelines that turn massive, complex datasets into real-time, actionable business insights. You will serve as a technical lead, collaborating with cross-functional stakeholders to drive automation and innovation.
Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $144000 - $209000 (USD) + 15% bonus target + equity + benefits
Learn more about
benefits at Google.
Minimum qualifications:
- Bachelor’s degree in Computer Science, Data Science, Engineering, a related technical field, or equivalent practical experience.
- 8 years of experience in software development, with a focus on building end-to-end web applications and data pipelines.
Preferred qualifications:
- Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field.
- 2 years of experience in data pipelines and analytics.
- 2 years of experience developing and deploying AI/ML solutions, including AI agents, Large Language Models (LLMs), or advanced statistical models in a production environment.
- Experience in technical leadership, project management, and executive communication.
- Experience setting up manufacturing assembly processes, driving product launches and assembly process optimization within manufacturing operations.