Principal Engineer, Data Indexing Infrastructure

1 Day ago • 15-20 Years • Product Management • $294,000 PA - $414,000 PA

Job Summary

Job Description

As a Principal Engineer, Data Indexing Infrastructure (DII), you'll provide technical oversight for DII, a critical part of the Information Retrieval tech stack supporting search and AI applications. You'll guide technical decisions for global teams, shape long-term strategy, and mentor tech leads. Responsibilities include guiding how the IR stack handles data for ML training, improving system health, defining Core Data product offerings, and ensuring indexing infrastructure meets current and future needs. You'll collaborate with product management and customer engagement teams to shape the future direction of indexing infrastructure.
Must have:
  • 15+ years software engineering experience
  • Experience with distributed systems, information retrieval, resource optimization
  • Technical thought leadership
  • Cross-functional enterprise experience
  • Expertise in indexing and large distributed systems
Good to have:
  • Advanced degree in CS/EE
  • Cross-organizational collaboration
  • Experience delivering within time-sensitive timelines
  • Excellent communication skills
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor's degree in Computer Science, Electrical Engineering, a similar technical field, or equivalent practical experience
  • 15 years of software engineering experience
  • Experience with technical innovation in one or more of the relevant domains (e.g., distributed systems, information retrieval, resource optimization) in a cross-functional enterprise
  • Experience with thought leadership, identifying and designing problems commensurate with Principal Engineer scope and difficulty

Preferred qualifications:

  • An advanced degree in Computer Science, Electrical Engineering, or a similar technical field is strongly desired
  • 20 years of software engineering experience
  • Experience with cross-organizational collaboration and influencing other teams' directions and road maps
  • Experience delivering successfully within time sensitive timelines
  • Ability to go deep technically and solve complex engineering problems
  • Excellent organization, prioritization, and written and verbal communication skills.

About the job

Core’s mission is to make Google better for everyone, and at scale. The Core team builds foundational technology and experiences that power the Google family of products. We are owners and advocates for the cross-Google user experience, underlying design elements, safety and privacy technology, developer platforms, product components, and infrastructure at Google.

Core Data is responsible for data at Google, working closely with teams across the company to serve their data needs. The Core Data product suite offers end-to-end data management solutions, infrastructure, and foundations for Google products operating at scale, including flagship products (e.g., Search, Ads, YouTube, and Geo).

As a Principal Engineer, you will play a vital role by providing essential technical oversight for Data Indexing Infrastructure (DII), a critical area of the Information Retrieval tech stack that supports both traditional search and AI applications. Recognized as a leading expert in indexing and large distributed systems, you will guide technical decision-making for multiple global/regional teams. Your expertise also contributes to shaping the long-term direction and strategy for numerous Product Areas/functions.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

The US base salary range for this full-time position is $294,000-$414,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Look forward, guide how the IR stack (and indexing, as a component thereof) handles data for ML training applications, atop traditional IR ones.
  • Mentor and grow Data Indexing tech leads, with a particular focus on improving and maintaining system health.
  • Work across the entire Core Data team to help define and ensure that Data Indexing participates in a coherent set of end-to-end Core Data product offerings.
  • Work with product management and customer engagement teams to ensure that indexing infrastructure supports current and future customer needs, working toward the future state as much as possible given current vantage point.

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