Why This Job is Featured on The SaaS Jobs
This Dataframe SDK Engineer role sits in a part of the SaaS ecosystem where product adoption is tightly coupled to developer experience. Rerun is moving from an open source project into a commercial, managed cloud platform, which makes the SDK a primary interface between end users and the underlying data services. Work that improves query ergonomics and performance is directly connected to how a platform like this becomes a dependable layer in customers’ workflows.
From a SaaS career perspective, the position offers durable exposure to the mechanics of building a platform product: API design, cross language client libraries, and the practical constraints of distributed backends. The mix of Python, Rust, and gRPC is also a strong signal of modern data infrastructure patterns, and experience here transfers well to other SaaS companies building analytics, data tooling, or developer platforms where latency, correctness, and usability all shape retention.
The role is best suited to engineers who prefer ownership of a well scoped slice of the stack and who enjoy iterating with real users in mind. It will fit someone comfortable moving between systems performance work and developer facing polish, and who can collaborate across time zones in a remote first setup.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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
