The Principal Engineer for the Shopping Product Graph Data Infrastructure at Google will lead the architectural evolution of the global commerce data ecosystem. This role focuses on creating resilient, large-scale systems that support various Google services, including Search, Ads, and YouTube. The engineer will integrate advanced machine learning and large-scale distributed systems to enhance product modeling and understanding. This position is crucial for driving technical excellence and mentoring senior engineers within the team.

• 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.

• Architect the end-to-end technical strategy for the next generation of the Shopping Product Graph data infrastructure.
• Partner closely with executive stakeholders, engineering directors, and product leadership across Search, Ads, and YouTube.
• Advocate for the integration of LLM inference and large-scale clustering techniques into the core data infrastructure.
• Establish industry-leading standards for data-driven product quality.
• Mentor and elevate a large organization of Senior Staff and Staff Engineers to solve complex commerce challenges.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.