--- title: 'Software Engineer, Infrastructure at Rerun' canonical: 'https://feeny.ai/job/software-engineer-infrastructure-rerun-remote-h8rbtaw5svmz' type: 'job' last_seen: '2026-09-07' --- # Software Engineer, Infrastructure at Rerun - **Company:** Rerun - **Location:** Remote - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-06-04 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/rerun/a6b9d129-a0fc-4635-96ca-8967c8617808 ## Job description ## 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 - This role is based in the Bay Area, hybrid, with 3 days a week in our SF office. - We're a remote company headquartered in Stockholm, Sweden, with a growing hub in San Francisco. - We meet up in person for a week roughly once a quarter. - We're spread across European and US time zones. Rather than one fixed window, each team keeps a few hours of daily overlap that fits where its members are, and every role posting says what that looks like. - 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. - Parental leave: 12 weeks full pay for every parent, alongside your local statutory leave entitlements. ## About Rerun ## Company Overview - **One-liner**: Rerun builds the unified data layer for Physical AI, providing an open-source SDK, time-series database, and visualizer for multi-rate, multimodal data used in robotics, spatial computing, and simulation. - **Entity Type**: Private (Seed stage) - **Headquarters**: Stockholm, Sweden - **Founded**: 2022 - **Founders**: Nikolaus West (CEO), Emil Ernerfeldt (CTO), Moritz Schiebold (COO) ## Core Business - **Primary Industry**: Software Development / Data Infrastructure for Physical AI (robotics, autonomous vehicles, drones, spatial computing) - **Target Customers**: B2B — engineering teams at companies building Physical AI (robotics, autonomous systems, simulation) and researchers in embodied AI - **Mission/Purpose**: To build the multimodal data stack for embodied AI, enabling teams to ingest, visualize, query, transform, and train on multi-rate, multimodal data from teleop, fleet logs, human-data rigs, and simulation — all from a single columnar store. ## Products & Services - **Rerun SDK (Open Source)**: A logging SDK (Python, Rust, C++) for multi-rate, multimodal data. Logs are stored as column-chunks in `.rrd` files, purpose-built for physical data. Enables real-time visualization and debugging. - **Rerun Viewer**: A cross-platform visualizer for exploring, annotating, and debugging temporal and multimodal data. Supports custom views and plugins for every stage of the pipeline. - **Rerun Hub (Commercial)**: A managed data catalog and storage engine. Provides byte-range indexing, SQL/dataframe querying across recordings, column-aware and video-codec-aware dataloading for training, and transform capabilities (add derived columns, evolve schemas without history-breaking). Turns object stores into a queryable, streamable foundation. - **Rerun Query Engine**: Full dataframe or SQL queries over any robotics data, including post-processing and annotation capabilities. ## Market Standing - **Valuation**: Not publicly disclosed - **Total Funding**: $20.4M - Pre-Seed (June 2022): $3.4M from 17 investors - Seed (March 2025): $17M led by Point Nine, with participation from 9 other investors - **Key Metric**: $20.4M total funding - **Notable Investors/Partners**: Point Nine (lead investor in Seed round), Costanoa Ventures, and 17+ other angel and institutional investors from the Pre-Seed round. - **Growth Signals**: - 52% employee headcount growth year-over-year (31 employees as of mid-2025, up from ~5 in 2022) - 20,020 LinkedIn followers (+39.4% yearly growth) - Operating in 14 countries across Europe and North America - Open source project with active community contributions; stewards of open source tools the industry relies on - Commercial product (Rerun Hub) launched in 2025, now in active use by teams building Physical AI ## Competitive Advantages - **Unified Data Layer**: Combines logging, visualization, querying, transformation, and training into one columnar store — eliminating the need for export jobs, stale copies, or multiple disparate tools. - **Purpose-Built for Physical AI**: Designed from the ground up for multi-rate, multimodal data (e.g., camera feeds, LiDAR, IMU, control signals) — not a bolt-on for a general-purpose database. - **Open Source Core**: The SDK and Viewer are open source (MIT/Apache), fostering community adoption, trust, and contributions from the robotics and AI research communities. - **SQL/Dataframe Querying on Recordings**: Allows users to run complex queries across the entire catalog, down to individual time ranges and values inside recordings — a unique capability for physical data. - **Column-Chunk Storage**: Efficient for multi-rate data, enabling fast retrieval and streaming without full-file downloads. ## Strategic Focus - **Scaling Rerun Hub**: Commercializing the managed data catalog and storage engine to serve enterprise Physical AI teams. - **Building the Data Loop**: Enabling seamless data flow from teleop/fleet logs through visualization, curation, and directly into training loops — "train without an export step." - **Open Source Community Growth**: Continuing to invest in the open source ecosystem, contributing to and maintaining tools the robotics community depends on. - **Talent Acquisition**: Actively hiring across engineering (Rust backend, infrastructure, dataframe SDK), forward-deployed engineering, and strategic operations to support product and customer growth. ## Why Work Here - **Mission-Driven Impact**: Build the foundational data infrastructure that will power the next generation of Physical AI — robots, drones, autonomous vehicles, and spatial computing. - **Remote-First & Distributed**: Remote-first company with founders based in Stockholm, Sweden, and teammates across Europe, the US East and West Coasts, and Canada. In-person team gatherings about once per quarter for a full week. - **Engineering Culture**: High bar for quality ("never settle for less than great"), curiosity, honesty, and empathy. Active contributors to open source projects the industry relies on. - **Growth Trajectory**: Early-stage (Seed) with significant funding, rapid headcount growth, and a clear product-market fit signal — offers opportunity for outsized impact and career growth. - **Cross-Functional Collaboration**: Small, high-leverage team (31 people) where engineers work closely with founders, design, and strategy — direct exposure to company-building. - **Autonomy & Ownership**: Engineers own meaningful parts of the stack (Rust backend, SDKs, infrastructure, data layer) and shape product direction. - **Open Source Contribution**: Chance to work on a widely-used open source project and contribute to the broader robotics/AI ecosystem. ## Sources 1. [rerun.io](https://rerun.io/) 2. [LinkedIn Company Page](https://www.linkedin.com/company/rerun-io/) 3. [Rerun Careers Page](https://jobs.ashbyhq.com/rerun) 4. [Rerun Careers Page (official)](https://rerun.io/careers) 5. [Built In - Rerun Profile](https://builtin.com/company/rerun) 6. [TechCrunch - Rerun Raises $17M](https://techcrunch.com/2025/03/20/reruns-open-source-ai-platform-for-robots-drones-and-cars-revs-up-with-17m-seed/) 7. [FinSMEs - Rerun Raises $17M](https://www.finsmes.com/2025/03/rerun-raises-17m-in-seed-funding.html) 8. [GlobeNewswire - Rerun Raises $17M](https://www.globenewswire.com/news-release/2025/03/20/2971234/0/en/Rerun-Raises-17M-to-Build-the-Data-Infrastructure-Powering-the-Physical-AI-Revolution.html) ## Other roles at Rerun - [Events Marketing Manager](https://feeny.ai/job/events-marketing-manager-rerun-san-francisco-em5q4npe633v) — San Francisco, CA - [Talent Partner](https://feeny.ai/job/talent-partner-rerun-united-kingdom-ireland-east-coast-wrwnzx22rkaj) — United Kingdom / Ireland / East Coast - [Strategic Operations, Founder’s Office](https://feeny.ai/job/strategic-operations-founder-s-office-rerun-stockholm-hts719c90xre) — Stockholm, Sweden - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-rerun-us-west-coast-d5cwnmwzrtdc) — US West Coast - [Software Engineer (Rust) - Backend](https://feeny.ai/job/software-engineer-rust-backend-rerun-remote-hhdct37h8ad8) - [Dataframe SDK Engineer](https://feeny.ai/job/dataframe-sdk-engineer-rerun-remote-nz88s1caa8d3) - [Software Engineer, Infrastructure](https://feeny.ai/job/software-engineer-infrastructure-altara-san-francisco-9e1mcrahhk6a) — San Francisco, CA - [Software Engineer, Infrastructure](https://feeny.ai/job/software-engineer-infrastructure-descript-san-francisco-ca-or-pwkt8z5d387p) — San Francisco CA OR, United States - [Software Engineer, Infrastructure](https://feeny.ai/job/software-engineer-infrastructure-sift-stack-inc-san-francisco-4xjy1bg37qf4) — San Francisco, CA - [Software Engineer, Infrastructure](https://feeny.ai/job/software-engineer-infrastructure-sift-stack-inc-marina-del-rey-n3fffbe2ghh1) — Marina Del Rey, CA