🔥 Snowflake · US-CA-Menlo Park
Skills: Java, SQL
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Staff Software Engineer – Compiler & Spark Runtime Location: Bellevue, WA or Menlo Park, CA ABOUT THE TEAM The Spark Runtime Engineering Team brings Snowflake’s performance, efficiency, and reliability to Spark workloads. Our mission is to help customers scale data processing while preserving the familiar Spark APIs and semantics they rely on. We build the compiler and runtime integration that translate Spark workloads into efficient execution on Snowflake’s cloud-native query engine. This includes tackling complex challenges in compiler infrastructure, query-plan lowering, Spark compatibility, execution integration, and end-to-end observability to deliver faster, more cost-efficient data processing at scale. We are seeking an experienced, hands-on engineer who combines deep technical expertise with the ability to lead complex engineering initiatives and influence technical direction. You will design and build critical compiler and runtime capabilities, guide architectural decisions, and mentor engineers through technical collaboration. ROLE OVERVIEW You will own complex projects from design through implementation and production rollout, contribute directly to the codebase, review critical designs and code, and investigate challenging correctness, performance, and reliabili…
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