Rerun

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

HELP US BUILD THE MULTIMODAL DATA STACK FOR PHYSICAL AI At Rerun, we’re building a new multimodal data stack for physical AI. Large parts of the physical-world economy will be transformed by these technologies, and we're building the data infrastructure and tools that enable it to happen. Data volumes grow big quickly with these applications and performance matters everywhere; from micro interactions to high throughput jobs. With multimodal data stack we mean tools for extraction, ingestion, storage, querying, streaming, and visualization of temporal multimodal data. Rerun’s open source project is already loved by some of the best teams in the world, and focuses on visualizing and handling multimodal logs. You'll join a newly formed team building out Rerun's commercial offering for ingesting, indexing and querying multimodal data at scale. WHAT YOU'LL WORK ON - You will work on a cloud-native analytical database system built for multimodal (often time-series) data. - The system is built in Rust and makes extensive use of Apache Arrow. It supports specialised queries to handle robotics-style multimodal logs (very sparse and wide tables) and domain specific operators (e.g. related to 3D transforms). - Note: prior robotics knowledge is not necessary - You will design, implement and operate the core pieces that make sure this data-intensive system is highly scalable, reliable and observable. WE'D LOVE IT IF YOU HAVE - Experience with async Rust in production, or language-agnostic background with a proven ability and strong motivation to learn Rust quickly - Experience shipping and owning complex backend systems in production, with responsibility for design, correctness, and long-term maintenance. - A deep understanding of all the systems, layers, and abstractions sitting between your code and the hardware, and willingness to move across them. - Experience building highly scalable data-intensive systems - Comfort with concepts like query planning, push-down filtering, and query optimisation - Experience deploying and operating complex systems in the Cloud (AWS/GCP/Azure) - Great communication skills in English - you'll be working in a tight-knit remote team - Proven ability to operate in ambiguity, with a product mindset, shaping specifications, challenging requirements, and driving toward the right solution end-to-end - A helpful attitude and a curious mind with an ownership mindset - we're all doing this together! NICE-TO-HAVES - Experience with Apache Arrow and Apache Datafusion - Experience with GPU workloads - Interest or experience in relevant domains like machine learning, robotics, AR/VR, or simulation 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 timezones - Everyone is 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 - This role suits engineers who are energised by ambiguity and iteration, and who enjoy turning rough ideas into solid systems - We offer competitive cash and equity compensation, six weeks paid vacation, and whatever hardware and software you need to do your job Most of all we hope you're excited to build some really cool technology that will have a real impact on the world with us! If you find that you don't fit neatly into this or any of the other open roles, we're not that rigid and are generally looking for great developers who can contribute to what we're building. Just go ahead and apply to the one you think is the closest and we'll take it from there!

We’re building the data stack for Physical AI. The Rerun open source viewer is already loved by some of the best teams in the world and the Rerun Cloud is live with early design partners. Demand is strong, and we need engineers who can sit with our customers and make them successful while feeding lessons learned back into the product. Our product is still early, and the right person will be comfortable fixing a feature and preparing a data pipeline as they are running a live demo. WHAT SUCCESS LOOKS LIKE IN THE FIRST 6 MONTHS Your north star is simple: help our customers love Rerun. You'll be the primary technical interface between Rerun and a set of customers, from demo to signed contract and through deep production use. We value a strong ownership mentality. WHAT YOU'LL WORK ON - Machine learning: - Data pipelines: ingest data from physical systems, curate datasets, and convert into training datasets - Training and experimentation: building reference projects for embodied AI use cases such as imitation learning pipelines, sim-to-real setups, and evaluation frameworks - Customer love: - Landing customers: Running demos and building engineer-to-engineer trust alongside our founders based on machine learning work - Launching customers: Support onboarding customers onsite and remotely. We anticipate 30% travel for this role, with less initially and potentially growing to a larger percentage over time - Improving product: Mapping customer needs and one off solutions to evolve our roadmap. Sometimes building features yourself based on your deep customer understanding WE'D LOVE IT IF YOU HAVE - ML engineering background, ideally with data engineering exposure with a strong understanding of pipelines, ingestion, and the messy realities of physical-world data - Strong Python; C++ or Rust is a plus - Genuine interest in robotics, spatial AI, or computer vision - Comfortable talking to engineers and communicating value without losing technical depth - Energized by ambiguity, ownership, and wearing many hats - Comfortable with periodic travel and ideally excited by the prospect of being deeply embedded with a customer when it matters 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 timezones - 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

At Rerun, we’re building a new multimodal data stack for physical AI. Large parts of the physical-world economy will be transformed by these technologies, and we're building the data infrastructure and tools that enable it to happen. Data volumes grow big quickly with these applications and performance matters everywhere; from micro interactions to high throughput jobs. With multimodal data stack we mean tools for extraction, ingestion, storage, querying, streaming, and visualization of temporal multimodal data. Rerun’s open source project is already loved by some of the best teams in the world, and focuses on visualizing and handling multimodal logs. You'll join a newly formed team building out Rerun's commercial offering for ingesting, indexing and querying multimodal data at scale. We'd love it if you have - 3-5 years experience async Rust, or a solid background in another systems language such as C or C++ and a strong motivation to pick up Rust - Experience working on backend systems in production, with an interest in growing your ownership of design and architecture - Curiosity about the layers between your code and the hardware; you don't need to know them all, but you enjoy digging in - Exposure to data-intensive systems or an eagerness to learn what makes them tick - Familiarity with concepts like filtering, indexing, or query execution; even at a high level - Good communication skills in English: you'll be working in a close-knit remote team - A helpful attitude and a curious mind: we're all figuring this out together! Nice-To-Haves - Any experience with cloud deployment (AWS/GCP/Azure), even in a supporting role - Exposure to Apache Arrow or Apache Datafusion - Interest in machine learning, robotics, AR/VR, or simulation - Experience with GPU workloads 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 timezones - Everyone is 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 - This role suits engineers who are energised by ambiguity and iteration, and who enjoy turning rough ideas into solid systems - We offer competitive cash and equity compensation, six weeks paid vacation, and whatever hardware and software you need to do your job Most of all we hope you're excited to build some really cool technology that will have a real impact on the world with us! If you find that you don't fit neatly into this or any of the other open roles, we're not that rigid and are generally looking for great developers who can contribute to what we're building. Just go ahead and apply to the one you think is the closest and we'll take it from there!

SOFTWARE ENGINEER, INFRASTRUCTURE At Rerun, we're building a new multimodal data stack for Physical l AI. Large parts of the physical-world economy will be transformed by these technologies, and we're building the data infrastructure and tools that enable it to happen. Rerun's open source project is already loved by some of the best teams in the world. Our commercial product, Rerun Hub, is a catalog and storage engine that already handles petabytes of robot training data for early customers, and we're now ready to onboard more teams. Read our latest post on what we're building: A new data layer for robot learning https://rerun.io/blog/data-layer-for-robot-learning. You'll join a small team building Rerun Hub, and you'll own the control plane that makes it run, including the Kubernetes operator that automates deploying Hub into customer environments. WHAT YOU'LL WORK ON - Own our Kubernetes operator: the control plane that provisions, configures, and manages Rerun Hub deployments across our own cloud infrastructure and inside customer accounts. This is real software engineering: CRDs, controllers, reconciliation, APIs, tests, releases. - Deep customer onboarding: When a customer brings new infrastructure requirements, you extend our control plane to accommodate that. Your reconcilers will make Rerun Hub work end-to-end from networking, IAM, storage to cluster configuration. - Production reliability and scale: Observability, CI/CD, incident response, and the deployment experience from local dev through staging to prod. - Follow-the-sun on-call with the rest of the team. WE'D LOVE IT IF YOU HAVE - A strong software engineering background. You think of infrastructure as software you build, not just systems you operate. - Deep Kubernetes experience, specifically with the operator pattern: you've designed CRDs, written controllers (controller-runtime / kubebuilder / operator-sdk), and shipped them to production. Earlier-career engineers with strong Go and distributed-systems/kubernetes fundamentals plus genuine interest in this work are equally welcome; we're hiring across levels. - Proficiency in Go, and ability to read and contribute to an asynchronous Rust codebase (or eagerness to learn; much of our stack is Rust). - Solid experience with AWS, infrastructure-as-code (ideally Terraform/OpenTofu), and production-grade observability. - Comfort being customer-adjacent: going into a customer's cloud account and doing the deep plumbing to onboard them. - Great communication in English, an ownership mindset, and a curious, helpful attitude. BONUS - Experience with high-throughput, time-series, or analytical database systems - Background in data-intensive infrastructure - Interest in robotics, AR/VR, ML, or simulation 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 timezones - Everyone is 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