Build secure, scalable AWS data foundations and GPU-enabled compute for advanced modeling and simulation workloads.

Design and implement data ingestion, storage, and processing pipelines for simulation workloads
Enable GPU-capable compute and scalable execution using Amazon EC2, AWS Batch, and HPC patterns
Optimize data movement, organization, and retrieval for large datasets
Partner with engineers and analysts to improve repeatability, performance, and reliability of simulation workflows

Active TS/SCI clearance; must be eligible for applicable SCI read-on/indoctrination and additional program-specific access approvals
Reside within commuting distance of one of the approved secure work locations: Herndon, VA, Washington, DC, Seattle, WA, or Denver, CO
Ability to work regularly on-site at an approved secure facility; occasional work at authorized customer facilities may be required
Not a remote position; full-time, on-site
Per government contract requirements, this position requires U.S. citizenship
5+ years of experience in data engineering, modeling and simulation, or related technical engineering
Hands-on AWS experience with data pipelines and compute-intensive workloads
Ability to design reliable data processing and storage solutions
Hands-on AWS cloud experience and ability to operate effectively in highly controlled environments

Experience with simulation platforms or scientific computing workloads
Exposure to GPU-enabled EC2, AWS Batch, HPC, and large-scale scenario data
Relevant AWS professional or specialty certifications; Security+ or CISSP where applicable

Work environment note: This is a no-jerk zone.

AWS Modeling & Simulation Data Engineer

Job Description