Staff Data Platform Engineer - Autonomous Driving Data

CARIAD, Inc.

Mountain View (CA)

On-site

USD 162,000 - 234,000

Full time

10 days ago

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Benefits offered by this job

Medical, dental, vision

401k with employer match

Vacation and paid holidays

Vehicle lease program

Tuition reimbursement

Employee assistance program

Job summary

CARIAD, Inc. is seeking a Staff Engineer for Autonomous Driving Data Platform & Curation in Mountain View, CA.

This hands-on role owns end-to-end data from raw multimodal vehicle data to reliable, versioned, model-ready datasets, leading ingestion, schema, storage, and quality pipelines. You will design scalable data representations and pipelines for large multimodal data, collaborate across teams, and advance data-quality monitoring, labeling workflows, and reproducibility for imitation

Qualifications

8+ years in applied ML or deep learning.
4+ years in RL, CV, or AD/ADAS systems.
Strong dataset and storage foundation with schema design and versioning.
Hands-on with Parquet, Lance, Arrow; storage, partitioning, indexing.
Python and SQL with production engineering practices.
Experience building distributed data pipelines (Ray, Spark, Beam, etc.).
Familiarity with S3/GCS object storage and data governance.

Responsibilities

Design canonical representations for drives, scenarios, frames, and dataset manifests.
Build and maintain validated datasets >10M records on storage.
Evaluate Parquet, Lance, Arrow; own partitioning, schema evolution, lineage.
Optimize filtering, projection, joins, sampling, and data loading performance.
Measure ingestion throughput, query latency, and cost per usable sample.
Enable self-service discovery and data quality tagging for ML datasets.
Design automated data validation, dashboards, and observability.
Lead monitoring, root-cause analysis, and reliability improvements.