At Sunrise Robotics, we are dedicated to augmenting humanity through intelligent robotics. Our mission is to elevate the world of manufacturing by introducing intelligent, flexible robots that enhance human capabilities and existing machinery, ushering in the next era of production at higher quality, with less waste, and lower cost.
We see a future where every element of manufacturing, from design to assembly, is optimised with intelligent automation. Our vision is to integrate flexible robotic solutions, based on generic hardware and advanced software/AI capabilities, into manufacturing, particularly in small and medium-sized enterprises, to make automation economically viable and accessible, for all sizes of manufacturers. We are not just building robots; we are creating the strategically crucial components for autonomous, intelligent agents of the future.
The Role:At Sunrise Robotics, this role owns the data platform that powers our robotics, AI, and deployment systems.
You’ll design and build the infrastructure that handles large-scale, multi-modal data - from ingestion and storage to processing and access. This includes video, sensor data, and robot telemetry used across training, simulation, and production systems. Your work will enable teams to reliably collect, version, and use data to improve system performance and accelerate development.
This is a hands-on role focused on building robust, scalable systems that support real-world robotics deployments.
What You’ll DoDesign and build data pipelines for ingesting, processing, and serving multi-modal data (video, images, sensor data)
Own and evolve our data platform, ensuring reliability, scalability, and ease of use across teams
Implement data storage and processing systems on AWS (e.g. S3, serverless pipelines, data lake architecture)
Build systems for data versioning, lineage, and reproducibility
Optimise data handling for large-scale, memory-intensive workloads
Enable efficient data access for AI, simulation, and deployment teams
Collaborate with AI, robotics, and infrastructure teams to align data systems with real-world use cases
Contribute to monitoring, observability, and tooling for data quality and system performance
Strong Python engineering skills, including data structures and efficient data handling
Experience working with large, multi-modal datasets (e.g. video, images, sensor data)
Experience building and operating data infrastructure on AWS (e.g. S3, serverless processing, data lakes)
Experience with data versioning and lineage systems (e.g. DVC, LakeFS, Pachyderm, or similar)
Experience with asynchronous programming and memory-efficient processing
Experience with data pipeline orchestration tools (e.g. Airflow, Dagster, Prefect, or similar)
Familiarity with MLOps workflows and tools (e.g. MLflow, ClearML, ZenML, or similar)
Experience with infrastructure-as-code tools (e.g. Terraform, Pulumi, CloudFormation)
Experience working with databases (e.g. SQLite, MongoDB, Cassandra)
Experience working with robotics or other real-time, sensor-driven systems
Experience with streaming data and edge data processing (e.g. Jetson, Coral, NXP)
Experience with synthetic data generation (e.g. Unity, Isaac Sim)
Experience with data visualisation and monitoring tools (e.g. Grafana, Plotly, Rerun)
Familiarity with ROS/ROS2 or robotics frameworks
Experience working with telemetry data (e.g. logs from physical systems)
We’re building a new category of intelligent, flexible robotic automation with real deployments, real customers, and momentum across Europe.
High exposure: Work closely with robotics, AI, and infrastructure teams on core systems
Career acceleration: Build and own the data platform in a fast-scaling robotics company
Real impact: Your work will directly enable how data is used to train, evaluate, and improve systems running in production
Top Skills
What We Do
Intelligent robotics transforming manufacturing.
