Data Engineer – Autonomous Vehicle AI Research Infrastructure– Hybrid @ LOS ALTOS, CA.

JOB DESCRIPTION

Employment Type – CONTRACT

Client is looking for CITIZENS/GREEN CARD

ONLY W2/1099 candidates

Hybrid (2 days onsite- Tuesday and Wednesday, 4x10 shift- off every Friday)

As a Data Engineer, you will be a key enabler of this mission—owning the systems that

collect, organize, clean, and deliver the volumes of sensor and simulation data that fuel

our world models, perception systems, and reinforcement learning algorithms. You will

collaborate closely with research scientists and machine learning engineers to ensure

our pipelines are reliable, scalable, and performant—powering breakthroughs in

intelligent driving across simulation and real-world deployments.

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.

Qualifications

● B.S. or M.S. in Computer Science, Data Engineering, or a related field.

● 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.

● Understanding of best practices for dataset documentation, standardization, and

reproducibility in research.

Bonus Qualifications

● Experience with autonomous vehicle datasets or robotics sensor data.

● Familiarity with ML training pipelines and model evaluation workflows.

● Prior experience collaborating with researchers or applied ML teams in

high-throughput environments.

Best Regards.

Bini Skaria,

DRS IT Solutions Inc,

28175 Haggerty Road,

Novi, MI 48377

(C) 248-440-7600 EXT-1

(F) 248-859-4430

Bini Skaria | LinkedIn

Bini@drsitsolutions.com

www.drsitsolutions.com

An E-Verified Company

Certified Women Business Enterprise (WBENC) Certified Women Owned Small Business (WOSB)