Build Avala's data platform — the ingestion, storage, and curation layer that processes multi-sensor recordings from production autonomous vehicle and robotics fleets. You'll design systems that handle petabytes of LiDAR, camera, and radar data with sub-second query performance.What You'll Do:• Design and build high-throughput data ingestion pipelines for fleet sensor data• Implement dataset curation tools — search, filter, slice, and export at scale• Build the Sessions system that groups recordings into logical units for annotation• Optimize storage and retrieval for petabyte-scale multi-modal datasets• Integrate with customer data lakes (S3, GCS) via zero-copy indexing• Design APIs that power both the web UI and Python/TypeScript SDKsRequirements:• 5+ years building data infrastructure or platform engineering systems• Strong Python and/or TypeScript with production systems experience• Experience with distributed data processing (Spark, Flink, or custom pipelines)• Deep knowledge of PostgreSQL, Redis, and cloud storage (S3/GCS)• Experience designing APIs for developer platformsNice to Have:• Experience with robotics data formats (MCAP, ROS bags, nuScenes)• Familiarity with sensor fusion or multi-modal data pipelines• Experience building search/indexing systems at scale