Senior Data Infrastructure Engineer, Query Engine

ABOUT THE ROLE Join an early-stage AI infrastructure team building a query engine that connects graph-native queries with enterprise data. You will develop the coordinator, compiler, and executor components that enable reliable reasoning and aggregation across multiple data sources. WHAT YOU'LL DO - Design and extend compiler and executor components to support new query language features and functions. - Build and optimize graph-native query capabilities across multiple data sources. - Develop pass-through query logic for platforms such as Snowflake, Databricks, and Oracle. - Work with the platform team to improve performance, reliability, and scalability. - Debug and resolve complex query execution issues in production environments. WHAT WE'RE LOOKING FOR - At least 5 years of experience in data infrastructure, query engine development, distributed systems, or database query processing. - Experience building or maintaining query compilers, optimizers, or execution engines. - Background with graph databases or graph query languages. - Experience shipping distributed query processing across multiple data sources, including federated execution across heterogeneous systems. - Proficiency in C++, Rust, or Java, with knowledge of SQL, query optimization, or compiler design. - Experience optimizing query performance in high-volume or latency-sensitive environments, and familiarity with Snowflake, Databricks, or Oracle. - Knowledge of semantic layers, knowledge graphs, or complex enterprise data environments is beneficial. COMPENSATION & BENEFITS Visa sponsorship is available. LOCATION On-site in San Mateo, United States.