As a Fullstack Engineer at Eventual, you will be an early member of the team with primary responsibilities around building out key features for our open-sourced data engine, Daft. You will work on core features across the entire stack, from the Daft frontend API and dashboard to its distributed scheduler and low-level Rust execution engine.
Our goal is to build the world's best open-source distributed query engine, and your work will play a key role in realizing that vision. As a young startup, you should be prepared to wear many hats, including tinkering with infrastructure, talking to customers, and participating heavily in the core design process of our product.
We are looking for candidates with:
Most importantly, we seek someone who works well in small, focused teams with fast iterations and lots of autonomy. If you are passionate, intellectually curious, and excited to build the next generation of distributed data technologies, we want you on the team!
We offer a flexible hybrid work approach with at least 3 days of in-person work (typically Monday-Wednesday) at our San Francisco office. We provide best-in-class compensation and benefits, including meal allowances and comprehensive health coverage (medical, dental, vision, and more).
Eventual is well-funded by investors such as YCombinator, Caffeinated Capital, Array.vc, and top angels from Databricks, Meta, and Lyft. Our team has deep expertise in high-performance computing, big data technologies, cloud infrastructure, and machine learning, with members previously working at companies like AnyScale, Tesla, and Lyft.
Join us in building the future of data platforms for ML/AI!