Principal Engineer, Shopping Product Graph Data Infrastructure
Pittsburgh, PA, USA · Principal · Full-time · Posted Oct 27, 2026
- Experience
- 15 years of experience in software engineering.
- Education
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
About the job
Leads the architecture and long-term strategy for Google's Shopping Product Graph data infrastructure, enabling large-scale commerce and AI-driven experiences.
What you'll do
- Architect resilient, planetary-scale infrastructure for the Shopping Product Graph.
- Align infrastructure strategy with leaders across Search, Ads, and YouTube; advocate for LLM inference and large-scale clustering.
- Set product-quality and evaluation standards, and mentor senior technical leaders.
What they ask for
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- Experience leading distributed systems and data infrastructure architecture and design.
- Experience providing technical leadership, setting direction, and building consensus across multidisciplinary engineering organizations.
- Experience with machine learning infrastructure, AI integration, or production LLM applications.
Nice to have
- Master's degree or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience transforming legacy, high-traffic data ecosystems; domain expertise in e-commerce, product knowledge graphs, search ranking, or commercial platforms.
Pay
$307000 - $427000 USD base salary
Tools
LLM, large-scale clustering
AI focus
Integrates LLM inference, clustering, and LLM-based evaluation into commerce data infrastructure and AI-driven product experiences.
Model-written summary · the original posting is authoritative