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Dataframe SDK Engineer

rerun.io · Sweden

Location
Sweden
Workplace
Remote
Employment
Full time
Level
Mid level
Posted
10 months ago

About this role

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

  • As published by rerun.io. Applications are handled on their site.

    Skills this posting mentions

    Artificial IntelligenceConcurrency DesignPhysics

    About rerun.io

    Rerun is building the data stack for Physical AI. Open source logging and visualization multimodal data. Managed infrastructure to ingest, store, analyze, and stream data at scale with built-in visual debugging. Fast, flexible, and easy to use.

    All 5 openings at rerun.io

    One click, then it is written

    Apply to rerun.io with a resume written for this role.

    Queue Dataframe SDK Engineer and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in rerun.io’s form for you.

    1. 01Drop your resume

      A PDF or a LinkedIn URL. About a minute, once.

    2. 02I rank the openings

      Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

    3. 03Each one is written up

      Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

    • 25 sent a week, free
    • No card
    • Nothing sent until you say so

    More roles at rerun.io

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    Put this to work

    Paste your career in once. Every application after that is written for you.

    Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

    1. 01Drop your resume

      A PDF or a LinkedIn URL. About a minute, once.

    2. 02I rank the openings

      Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

    3. 03Each one is written up

      Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

    • New matches ranked and written before you are up.
    • Every bullet stays inside what your history supports. Nothing invented.
    • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

    500 free credits on sign-up. No card. Nothing is sent until you say so.

    Listed from the job board rerun.io publishes. Refolk is not the employer and does not handle their hiring. Applications go to rerun.io directly.