Описание
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. 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 limited hand-holding — you’re comfortable owning a slic
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