Dataframe SDK Engineer
At Rerun, we’re building the data stack for Physical AI. Large parts of the physical-world economy will be transformed by intelligent products, and we're developing the data infrastructure and tools that make it possible.
Our open-source project focuses on logging and visualizing multimodal data and is already loved by some of the best teams in the world. We’re now building our commercial platform — managed infrastructure for ingesting, storing, analyzing, and building training data pipelines for Physical AI at scale.
We’ve built an exceptionally senior, talented engineering team. Now we’re looking for a DataFrame SDK Engineer to own and expand the developer experience for querying and working with Rerun’s data — improving performance, ergonomics, and integrations across our Python and Rust SDKs. This role sits at the intersection of API design, query performance, and developer experience, and will have a direct impact on how customers adopt and build on top of Rerun Cloud.
WHAT YOU’LL DO
- Build a world-class query and dataframe SDK that makes exploring data in Rerun intuitive and powerful
- Work across Python, Rust, and gRPC layers to add new operations and integrate with our distributed backend services
- Push performance improvements through better query planning, push-down logic, and dataset versioning
- Contribute documentation and examples that make the SDK easy to adopt
- Collaborate with other engineers on dataset creation, versioning, and catalog interfaces
WE’D LOVE IT IF YOU HAVE
- Experience building or contributing to Python data APIs, ideally dataframe-style APIs (e.g. Pandas, Polars, Arrow, Snowflake, or similar)
- Strong experience in Python and Rust, or a language-agnostic background with proven ability and motivation to pick up Rust rapidly.
- Experience writing high-performance software and debugging across Python, Rust, gRPC, and distributed systems
- Proven ability to take projects from start to finish with limite...