Jobs at Eventual

Build and improve core components of the Daft distributed data engine including query planning/optimizer, execution engine, distributed scheduler, and storage integrations (Parquet, Iceberg, Delta). Work on memory-stable streaming computation, resource utilization, scheduling, and fault tolerance. Collaborate in a small in-person team, engage with customers, and take ownership of system design and implementation.

As a Software Engineering New Grad, you will build features for Eventual's distributed query engine, develop cloud services, and document system components while receiving mentorship from experienced engineers.

As a Research Engineer, you'll enhance visual understanding capabilities by training and deploying models to make video datasets queryable, driving down costs, and collaborating on data taxonomy design.

Build and optimize a video-native dataloader that streams multimodal training data to GPUs at line rate. Profile and eliminate bottlenecks across object store → NVMe → host RAM → device RAM, saturate modern GPU hardware, own performance benchmarks, and collaborate with researchers and storage teams to integrate and measure end-to-end MFU.