About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Relay Log powers privacy-safe data exchanges between YouTube Ads and the global measurement industry. We ensure YouTube’s viewership—across Main, YouTube TV, and Live Sport is accurately represented in the currency-grade ratings that drive users in advertising spend. We design the critical pipelines and privacy-preserving infrastructure connecting YouTube with partners. Our issue is balancing granular measurement with rigorous user privacy. We leverage Big Query clean rooms, commutative encryption, and differential privacy to enable data sharing while maintaining industry-leading security.

Joining Relay Log means solving complex problems at the intersection of big data and privacy. You’ll collaborate with external engineering leaders and impact high-stakes projects like Live Sports measurement, directly influencing YouTube’s global business.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $141,000-$202,000 + 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 benefits at Google.

Responsibilities

• Deliver on critical roadmap items, including new measurement integrations for YouTube TV and Live Sports, and ensure compliance with industry standards and regulations (e.g., DMA, MRC, EMFA).

• Contribute to existing documentation/educational content and adapt content based on product/program updates and user feedback.

• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network/service operations and quality.

• Write product/system development code, review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

• Design, build, and operate large-scale data pipelines using Flume, SQLP, Dreampipe, and Google Cloud Platform (Big Query) to share YouTube data externally and develop and integrate privacy-enhancing technologies like Differential Privacy and Clean Rooms to enable secure data collaboration.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with C++ or other programming languages or 1 year of experience with an advanced degree in an industry setting.

• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical fields.

• 2 years of experience with Flume, Flume C++, Differential Privacy, Big Query, Google Cloud Platform, Dreampipe.

• 2 years of experience with data engineering.

• 2 years of experience with data structures or algorithms.

• Experience developing accessible technologies.