[Hiring] Senior AI Data Engineer @Sunrise Robotics Corporation

Role Description

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 Do

• Design 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

Qualifications

• 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)

Requirements

• 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)

Benefits

• 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