Senior Software Engineer, Infra, Auctions and Prediction Stack

Google•Mountain View, CA
•$174,000 - $252,000

About The Position

Google software engineers develop technologies that enable billions of users to connect, explore, and interact with information. This role focuses on building auction infrastructure for Search Ads, which supports auction mechanisms and advertising product innovation at Google Search scale. The work includes critical backend infrastructure, robust and efficient auction systems, sophisticated auction mechanisms, and collaboration with partner teams on Search advertising product explorations in the era of AI. Google Ads applies machine learning and generative AI models, including Gemini, to its global business. The team's work aims to protect users from harm, improve ad quality, and optimize campaigns for advertiser return on investment. The role includes opportunities to work on large-scale technology challenges and the next generation of advertising technology.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in C++.
  • 3 years of experience developing large-scale infrastructure, distributed systems, or networks.
  • Experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.

Nice To Haves

  • Master's degree or PhD in Computer Science or a related technical field.
  • 5 years of experience with data structures and algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience with game theory or auction theory.

Responsibilities

  • Develop auction backend in C++ to build an agile auction framework that supports various needs.
  • Participate in technical discussions and designs to build high-quality infrastructure.
  • Lead junior team members by setting direction for their projects and following up on progress throughout each project.
  • Reduce technical debt and improve code health.
  • Evaluate the impact of changes through experimentation, data analysis, and other tools.

Benefits

  • 15% bonus target
  • Equity
  • Benefits
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