Autonomous Vehicle Engineer

Data Engineer – Autonomous Vehicle AI Research Infrastructure LOS ALTOS, CA; / Human Interactive Driving – Contractor Candidate must be willing to work on 1099/W2. C2C/Vendor referrals will not be considered ● Design, implement, and maintain robust data pipelines for ingesting, cleaning, and transforming large-scale autonomous vehicle datasets (camera, LiDAR, radar, GPS, simulation logs). ● Develop scalable storage and retrieval systems using AWS services (S3, EC2, SageMaker, Athena, etc.). ● Ensure data quality and consistency through automated validation, deduplication, and schema enforcement. ● Collaborate with ML researchers and engineers to provide efficient access to training data, labels, and metadata. ● Optimize data preprocessing and batching pipelines to support large-scale training and evaluation workflows. ● Build tools to manage and audit dataset versions, experiment tracking, and feature reproducibility. ● Implement and maintain CI/CD workflows for data and pipeline updates, ensuring minimal downtime and reproducible outputs. ● Monitor data pipeline performance and respond to bottlenecks or outages proactively. ● 3+ years of experience building production-grade data infrastructure or ML data pipelines. ● Strong proficiency with Python and SQL, and experience with data workflow orchestration tools (e.g., Airflow, Prefect, Luigi). ● Deep experience with AWS services, especially S3 (data storage), EC2 (compute), and SageMaker (model training). ● Familiarity with distributed computing frameworks like Spark, Dask, or Ray.