A data curation platform that turns fleet telemetry and simulation outputs into model-ready autonomy datasets through automated ETL, validation, and pipeline generation.
Added Jun 7, 2026
Last signal 3w ago
Autonomy teams need to collect high-value data from internal and external drone fleets, simulation runs, and model development workflows, then transform it into datasets that training teams can trust. The job signals point to heavy operational burden around large-scale ETL/ELT, scalable datasets, training loops, and lowering the technical barrier for teams to access and build with data.
Build a SaaS? platform for robotics and autonomy teams that ingests fleet logs, simulation outputs, vision model traces, and labeling metadata, then automatically curates, validates, and packages model-ready datasets. The tool would include AI-assisted pipeline generation, dataset quality checks, bottleneck analysis hooks, and orchestration for batch or streaming data workflows.
Drone autonomy teams are scaling sim-to-real training loops and need faster data flywheels to improve models continuously. AI-powered data transformation and agentic developer workflows make it more practical to automate dataset pipeline creation instead of relying on bespoke engineering work.
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Showing 1-16 of 16 signals
Design and implement scalable, extensible, interactive data pipelines and annotation workflows Build tools that leverage state-of-the-art machine learning systems for efficient data exploration and curation across the fleet of Skydio drones
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond . As a Senior Engineer on the Autonomy Data Curation team, you’ll help build a data flywheel. You’ll collect the data that matters most from internal and external fleets of drones and turn it into high-quality, model-ready datasets that Autonomy teams can consume quickly and confidently for training and model development. Close peers will include the Deep Learning and Computer Vision teams.
Design and build synthetic data generation systems and simulation environments that produce high-signal, high-diversity training data for frontier AI models. Architect and ship operational automation systems that maximize throughput, efficiency, and quality across the end-to-end data pipeline.
Design, build, and maintain scalable data pipelines to process many petabytes of complex sensor data, making it ready for efficient model training and evaluation. Develop infrastructure to produce reliable, high-quality datasets for a wide range of ML models, from real-time on-car models to large-scale offboard foundation models.
Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments Build and support scalable pipelines as part of Torc’s Data Factory to deliver data for ML training at scale
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