Data Engineer
Core
Design and deliver scalable data pipelines to transform diverse internal and external data into structured, reliable, and model-ready datasets for model-based autonomous driving.
Role type
Senior IC data engineer (autonomous driving)
Builds
Scalable data pipelines, curated datasets, and data quality systems for ML workflows
Domain
Autonomous driving / Robotics
Deliverable
production ML models
Required skills
Python, SQL, PySpark, workflow orchestration (Airflow/Flyte/Ray), robotics data concepts (sensor characteristics, timestamping, coordinate transformations, calibration, ego-motion signals), ML development workflows
Preferred skills
Calibration, perception, imitation learning, trajectory prediction, third-party dataset ingestion, automated driving data taxonomies (ODD, manoeuvre labels, scene classification)
Responsibilities
Build scalable data pipelines for model development and production; Ingest and curate large-scale real-world and synthetic datasets; Develop data quality checks and monitoring; Mine data for scenario diversity; Improve pipeline performance and reliability; Collaborate with ML engineers and Data Corpus teams
Seniority
Senior, hands-on IC
