Senior Data Engineer (Autonomous Driving)

About the role

Indrive is building the data foundation for its autonomous-driving work and is hiring the engineer who will start it. Today the company collects street-level imagery and GPS tracks from vehicle cameras, including its own camera units with NVIDIA edge devices, to update maps. When a dedicated survey vehicle with a full sensor set (multi-camera, IMU, LiDAR) arrives, you will build the pipelines that turn its data into training datasets for autonomous-driving models.

Key responsibilities

• Build pipelines that move multi-sensor data (multi-camera video, IMU, LiDAR, GPS) from vehicles into cloud storage, synchronizing and geo-referencing the streams
• Own the storage layout and lifecycle for sensor data: partitioning, hot and archival tiers, and cost control as volume grows
• Set up validation and monitoring on the ingest path: incomplete uploads, missing or unsynchronized streams, and vehicles that stop producing usable data
• Prepare training datasets for autonomous-driving models: select data by location, route and conditions, version datasets and deliver them in the formats ML teams need
• Take over and develop the current imagery and GPS-track pipelines from vehicle cameras, and contribute to geodata pipelines (ingestion from company data, OpenStreetMap, Overture Maps and vendors, conflation, validation, publication)
• Work with company data in BigQuery and keep spatial queries fast on large PostGIS and GeoParquet tables

Required profile

• 4+ years in data engineering
• Experience with multi-sensor data from vehicles or robots (cameras, IMU, LiDAR) and keeping the streams in sync
• Experience preparing training datasets for computer vision or autonomous-driving models
• Experience handling large volumes of binary or media data in object storage and distributed processing
• Hands-on experience with spatial data: PostGIS, GeoPandas/Shapely, coordinate reference systems and GPS tracks

Required skills

• Strong Python and SQL
• AWS or GCP, Docker, Kubernetes
• Nice to have: ROS2 bag, MCAP or point clouds; Parquet, Delta or Iceberg; Databricks; Argo Workflows or Airflow; OpenStreetMap and Overture Maps; QGIS; BigQuery

What we offer

• Mentoring, career consulting and learning programs
• International experience through the Global Talent Exchange Program
• Company-wide challenges, awards, sports, social impact and volunteering projects
• Co-financed language courses and internal speaking clubs