Autonomous Vehicle Engineer

DRS IT Solutions Inc is seeking an Autonomous Vehicle Engineer to design and maintain data pipelines for autonomous vehicle AI research. The role involves collaborating with ML researchers, ensuring data quality, and optimizing data workflows for large-scale training and evaluation.

Responsibilities:

• 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

Requirements:

• 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