Description

Minimum qualifications:

• Bachelor's degree in Computer Science, or related technical field, or equivalent practical experience.
• 2 years of experience in coding with C/C , Java, Python or Go.
• 2 years of experience in architecting and developing large-scale distributed systems.
• 2 years of experience in concurrency, multithreading and synchronization.

Preferred qualifications:

• 2 years of experience with Application Programming Interface (API) and language design.
• 2 years of experience working on data infrastructure products or with data infrastructure team.
• Experience with backend infrastructure work and comfortable with distributed systems.

About the jobIn this role, you will make every decision data-driven by providing the safe, easy, reliable and fast way to query structured data.The US base salary range for this full-time position is $147,000-$211,000 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

• Enhance F1 execution kernel with advanced query features, making them accessible across all data sources and query stacks, including F1 and Table Services.
  
• Work on UTM (Unified Table Metadata), a standardized portrayal for table metadata that powers query planning and data processing for various DANI products such as F1, Conduite, Sawmill, Napa, and serve as a vital component for F1 execution kernel and Table API ecosystems.
• Enhance the F1 Execution Kernel and UTM(Unified Table Metadata) to boost data processing and analysis efficiency within the Gemini Era. This aims to address disk space limitations in AI/ML, improve agent performance, and transform F1 Query into a unified interface for federated vector and structured queries of first-party data.
  
• Contribute as a key member of the team, actively participate in code reviews, design discussions, and knowledge sharing.

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Requisition #: 122495165548896966

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