One Autonomy for All Robots. Field-proven embodied AI software that is finally unlocking the full potential of mobile robots in the real world. Backed by Khosla.
About the role
We are building the data foundation that powers the full machine learning lifecycle for autonomous robotics. Our robots generate large-scale, multimodal datasets across real-world deployments, and turning that raw experience into reliable, discoverable, high-quality ML data is a core part of improving our autonomy systems. As a Data Platform Engineer, you will help design and build the platform that manages data from ingestion through processing, validation, labeling, dataset generation, training, and evaluation.
What they're looking for
- Strong experience building production data platforms or large-scale data-processing systems
- Strong software engineering skills, preferably Python and/or C++/Java/Go
- Experience with distributed data processing and workflow orchestration
- Experience with data lakes/lakehouses, object storage, metadata systems, schemas, and data versioning
- Strong understanding of data quality, lineage, reproducibility, and reliable pipeline design
- Experience with technologies such as S3, Airflow/Dagster, Spark/Ray, Kubernetes, Parquet, or similar systems
More about this role
FieldAI ’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
We are building the data foundation that powers the full machine learning lifecycle for autonomous robotics. Our robots generate large-scale, multimodal datasets across real-world deployments, and turning that raw experience into reliable, discoverable, high-quality ML data is a core part of improving our autonomy systems.
As a Data Platform Engineer, you will help design and build the platform that manages data from ingestion through processing, validation, labeling, dataset generation, training,...
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