We're building the data stack for Physical AI. The Rerun SDK viewer is loved by some of the best robotics and spatial AI teams in the world, and Rerun Hub is live in private preview managing petabytes of data.

Demand is strong, and we need someone whose focus is making customers successful, fast. As a Forward Deployed Engineer, you'll sit with customers from first demo through production, figure out what they actually need, and get something working in front of them. What drives you is unblocking customers and watching them go all-in on the product.

What you'll do

• Run demos and onboard customers onsite and remotely, building engineer-to-engineer trust alongside our founders

• Take a messy customer problem and stand up a working proof of concept

• Be the most expert user of Rerun, and feed relay customers struggles back into the roadmap

• Coordinate with the team to make every POC and customer onboarding better than the last

What we're looking for

• A technical foundation in either Robotics, ML, data engineering, or databases. You are credible with engineers, comfortable in real codebases.

• Working Python: you can read, iterate on, and extend existing code and get a POC over the line.

• Genuine interest in robotics, spatial AI, or computer vision; hands-on exposure is a real plus

• High agency, and genuinely driven by solving customer problems. Technical and real beats charismatic salesperson.

• Comfortable with 30% travel

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

We're building the data stack for Physical AI. The Rerun SDK viewer is loved by some of the best robotics and spatial AI teams in the world, and Rerun Hub is live in private preview managing petabytes of data.

Demand is strong, and we need someone whose focus is making customers successful, fast. As a Forward Deployed Engineer, you'll sit with customers from first demo through production, figure out what they actually need, and get something working in front of them. What drives you is unblocking customers and watching them go all-in on the product.

What you'll do

• Run demos and onboard customers onsite and remotely, building engineer-to-engineer trust alongside our founders

• Take a messy customer problem and stand up a working proof of concept

• Be the most expert user of Rerun, and feed relay customers struggles back into the roadmap

• Coordinate with the team to make every POC and customer onboarding better than the last

What we're looking for

• A technical foundation in either Robotics, ML, data engineering, or databases. You are credible with engineers, comfortable in real codebases.

• Working Python: you can read, iterate on, and extend existing code and get a POC over the line.

• Genuine interest in robotics, spatial AI, or computer vision; hands-on exposure is a real plus

• High agency, and genuinely driven by solving customer problems. Technical and real beats charismatic salesperson.

• Comfortable with 30% travel

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

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.

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

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.

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

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!

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!

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

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