Eventual
Eventual is building a multimodal data platform for AI systems from the ground up, designed to tackle the challenges of working with traditional data engineering and analytics alongside modern ML/AI workloads. Eventual has raised $30M from investors including Felicis, CRV, M12, Citi, YCombinator, Array VC, Caffeinated Capital and top Silicon Valley executives and founders in companies such as Meta, Lyft and Databricks.
Open Positions at Eventual
3 open positions
Build Eventual’s core data and AI infrastructure, including scalable products, resilient systems, and APIs for a web-based BYOC enterprise platform. Bring deep expertise in software fundamentals and a specialized focus such as ML deployment, distributed query engines, multimodal data, or 3D computing.
Build and optimize a video-native dataloader that feeds multimodal Physical AI training workloads directly to GPUs at line rate. You’ll solve challenging systems-performance problems across storage, memory, networking, video decoding, and high-end GPU infrastructure.
Join Eventual as a new graduate Software Engineer building distributed systems that move and organize petabytes of multimodal data for robotics and Physical AI. You’ll work in Python and Rust on real production infrastructure, receive early ownership and mentorship, and help turn customer research bottlenecks into shipped fixes.