Posted at: 15 January

Dataframe SDK Engineer

Company

Rerun

Rerun is a Stockholm-based B2B open source data platform specializing in Physical AI, providing an SDK for logging and visualizing multimodal data streams.

Remote Hiring Policy:

Rerun is a remote-first company headquartered in Stockholm, Sweden, with team members primarily in European and US-East Coast time zones. While hiring is focused on these regions, candidates from other locations may be considered on a case-by-case basis to ensure effective collaboration.

Job Type

Full-time

Allowed Applicant Locations

North America, Europe

Job Description

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 limited hand-holding — you’re comfortable owning a slice of the stack and iterating quickly

  • Empathy for developers and a sense of taste for clean, ergonomic API design

Bonus Points It If You Have

  • Experience with Apache Datafusion or Apache Arrow

  • Familiarity with query planners, compilers, or execution engines

  • Experience working on data-oriented or multimodal data systems (e.g., robotics, physics modeling, or simulation pipelines)

  • Knowledge of async Rust or similar concurrent programming models

How We Work at Rerun

  • We're a remote company headquartered in Stockholm, Sweden.

  • We meet up in person for a week roughly once a quarter

  • The team you'll join has members in European and US-East Coast timezones

    • You should be available for synchronous work between 1:30–5:00pm CET.

      Given our current team distribution, candidates outside of Europe or the US will be considered on a case-by-case basis to ensure there’s enough overlap for effective collaboration.

  • We've put together an uncommonly talented tech team, value agency and helpfulness highly, and expect everyone to take broad responsibility for what they build

  • We offer competitive cash and equity compensation, six weeks paid vacation, and whatever hardware and software you need to do your job