Join us at EIT:
At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity’s greatest challenges in four transformative areas:
- Health, Medical Science & Generative Biology
- Food Security & Sustainable Agriculture
- Climate Change & Managing CO₂
- Artificial Intelligence & Robotics
This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org.
The Scientific Compute and Data Team
The Scientific Compute and Data team builds the compute, data and tooling foundation behind EIT's science. We run the cloud and GPU infrastructure that the models train on, the data infrastructure that instruments, robots and researchers use, and the data products and shared data models that let one team's results be built on by the next. We provide hands-on expertise in platform engineering, data engineering, and data management, and create common tooling for every lab to accelerate their experiments across gene editing, battery chemistry, plant biology and more.
Your Role:
At EIT we are seeking an experienced Data Engineer to join our Scientific Compute and Data team. Our Data Engineers in Autonomous Systems work within a wider project, AutoLabs. This is where EIT automates the scientific discovery loop: experimental design, execution, analysis, and the learning that feeds back into the next experiment and the lab itself. The AutoLabs data platform captures, stores and serves high-frequency multimodal data. It spans an edge-to-cloud telemetry stack (MQTT, Kafka, media streams such as HLS), streaming APIs, and a growing set of hardware integrations across multiple sites including robotic systems, sensor rigs and lab instruments.
Our labs produce raw data for a fast-growing set of models: vision-language-action models, orchestration and monitoring models, and world models that learn the dynamics of a laboratory to simulate experiments before they are run.
As a Data Engineer, you’ll work directly alongside AI researchers, software engineers, robotics engineers, and domain scientists to build the data layer that makes our autonomous operations possible. You will contribute to an engineering culture that values robust system design, testing, and deep collaboration, but allows flexibility for rapid prototyping and responsiveness to changing landscapes.
Day-to-Day, You Might:
- Build high-throughput, low-latency ingestion for live video, sensor telemetry, robot joint state and instrument control signals, integrating validation at the edge before data reaches the cloud.
- Work across the edge-to-cloud stack, from edge devices and MQTT brokers through to Kafka topics, cloud storage, and the APIs that serve scientists and ML pipelines.
- Turn streams of robot state, instrument output and video into structured database transactions: which arm did what to which sample, when, and what came out.
- Build the knowledge graph on top of that, linking inputs to results, so that a fact can always be traced back to the video segment and sensor readings behind it.
- Make the output model-ready: the formats, sampling, labelling and provenance that training and evaluation need, working directly with the researchers who consume it.
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