granica · Bay Area Office
Skills: Java, Rust, SQL
SENIOR SOFTWARE ENGINEER — DISTRIBUTED COMPUTE / SPARK SYSTEMS LOCATION: MOUNTAIN VIEW, CA — DOWNTOWN HQ Employment Type: Full-time Work Model: On-site, 5 days/week Department: Research ABOUT GRANICA Granica helps enterprises run AI for less, from the data layer to agent execution. Granica is building across three related layers: - Crunch reduces storage and processing costs across enterprise data infrastructure. - Large Tabular Models unlock predictions and generated data from governed enterprise tables. - Myelin reduces token and compute overhead for long-running AI agents. Everything runs inside the customer’s perimeter, so enterprises retain control of their data and the intelligence it creates. Granica has already processed hundreds of petabytes of enterprise data in production for customers including Snap, Pinterest, Lyft, and ShareChat. Our research organization is led by Stanford Professor Andrea Montanari. We operate at the intersection of data infrastructure, AI systems, and applied research, building the efficiency and intelligence layer for enterprise AI. ABOUT THE ROLE Granica is hiring a Senior Software Engineer to build distributed compute systems for enterprise-scale data and AI workloads. You will work on the core infrastructure behind Crunch, Granica’s continuous optimization product for enterprise lakehouse data. This includes systems for distributed execution, workload optimization, query performance, scheduling, resource management, and compute cost reduction across petabyte- and exabyte-scale environments. You will own core systems that directly affect customer compute spend, query latency, workload reliability, cluster efficiency, and the performance of large-scale analytical data processing. This is a hands-on systems role for engineers who have gone deep on distributed execution — particularly Apache Spark or similar query/runtime systems — and want to own performance, scheduling, reliability, and compute efficiency at massive scale. WHAT YO…
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