At Rerun, we’re building a new multimodal data stack for robotics and spatial 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, and will be responsible for the infrastructure it runs on.
You’ll contribute to building a Rust-based cloud-native analytical database system for multimodal (often time-series) data, with a focus on establishing and maintaining the cloud infrastructure.
Set up production deployment environments with a focus on reliability, scalability, and observability
Own the deployment experience from local development, to CI, staging, and production
Design deployment solutions that range from fully managed to bring-your-own-cloud to on-premise
Dive deep and trouble shoot at all levels from networking, to operating systems and application code
An ownership mindset – we’re all doing this together!
A helpful attitude and a curious mind
8+ years of experience in infrastructure engineering, site reliability, or platform engineering roles
Deep knowledge of cloud infrastructure, particularly AWS
Significant production experience with Kubernetes and infrastructure as code
Proficient in designing deployment architectures tailored to diverse customer environments
Ability to work with a Rust codebase
Great communication skills in English – you’ll be working in a tight-nit remote team
Knowledge of data-intensive applications and their infrastructure needs
Prior work with high-throughput, time-series, or analytical database systems
Interest or experience in relevant domains like machine learning, robotics, AR/VR, or simulation
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 and 5pm CET
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
Tagged as: Engineer, ITI, learn, ship
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