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X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications: - Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
- 8 years of experience programming in C .
- 5 years of experience testing, and launching software products.
- 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 3 years of experience with software design and architecture.
Preferred qualifications: - Experience with automation systems and related infrastructure.
- Expertise in large systems (indexing, serving, performance tuning).
- Strong math background.
- Strong collaboration skills within a large team and across PAs..
- Good communication skills.
About the jobSearch Ads Serving is the infrastructure and quality machinery that powers ads on all Google Search queries, including queries to Search Ads partners and Google owned-and-operated properties (Google Maps, YouTube Search, Discovery Feed, Google Shopping property). Thousands of engineers in dozens of feature and quality teams develop this system.
The system is constantly evolving to support numerous launches, and provides APIs, testing frameworks and tools/processes to allow high developer productivity and operational excellence. As Search is pivoting towards AI first experiences through AI Overview and AI Mode, the current focus is to evolve the Ads Serving stack and prepare it for next-gen AI/LLM capabilities.
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Play a leading role in a reliable infrastructure that drives business growth.
- Collaborate across Ads teams to understand client teams' needs, identify opportunities, and deliver impact.
- Identify performance optimization opportunities and deliver latency/resource savings.
- Build automation systems and related tools to operate this system at scale.
