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Principal Engineer, Shopping Product Graph Data Infrastructure

Google
Pittsburgh, USA
Senior · 15+ years experience
Onsite
USD 307000-427000 / year
Discovered 1 weeks ago

Full Job Posting

Responsibilities

  • Architect the end-to-end technical strategy for the next generation of the Shopping Product Graph data infrastructure, building resilient, planetary-scale systems that power Google's commercial AI experiences.
  • Partner closely with executive stakeholders, engineering directors, and product leadership across Search, Ads, and YouTube to align advanced infrastructural capabilities with broad, multi-year strategic business objectives.
  • Advocate for the integration of LLM inference and large-scale clustering techniques into the core data infrastructure, bridging advanced research with massive-scale consumer applications.
  • Establish industry-leading standards for data-driven product quality, pioneering advanced experimentation and LLM-based evaluation frameworks to accelerate engineering iteration and model accuracy.
  • Serve as a cornerstone of technical excellence, actively guiding, mentoring, and elevating a large organization of Senior Staff and Staff Engineers to solve Google's ambiguous and complex commerce challenges.

Minimum qualifications:

  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  • 15 years of experience in software engineering.
  • Experience leading the architecture and design of distributed systems and data infrastructures.
  • Experience providing technical leadership, setting technical direction, and driving consensus across multi-disciplinary engineering organizations.
  • Experience with machine learning infrastructure, AI integration, or large language model (LLM) applications in production environments.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience successfully driving fundamental architectural transformations for legacy, high-traffic data ecosystems.
  • Ability to navigate complex organizational structures, seamlessly translating advanced research into tangible, real-world product impact.
  • Domain expertise in e-commerce, product knowledge graphs, search ranking, or commercial platforms.

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