Application Engineer II

Job Description...

HPC Storage & Data Management Engineer

Position Summary
The HPC Storage & Data Management Engineer is a dedicated infrastructure specialist responsible for the design, administration, and ongoing optimization of storage environments within Client Vernova's enterprise-scale, AWS-based HPC platform. This role exists within ADT but operates in close collaboration with the Digital Technology (DT) team in storage operations and data lifecycle management. 

Key Responsibilities:

Storage Architecture & Optimization
Manage and optimize the full HPC storage topology including home directories, high-performance local scratch/compute, project storage, and archive tiers;ensure appropriate data placement aligned with workload performance requirements.

Quota & Capacity Management
Administer and enforce per-user and per-project storage quotas;monitor utilization trends across the user base and provide capacity forecasting inputs to the HPC Principal Engineer and DT team.

Dual-Protocol File Permission Management
Manage file permissions and access control lists (ACLs) across multi-protocol (NFS/SMB) environments, ensuring consistent access governance for both Linux HPC and Windows VDI users.

Cost Visibility & Reporting
Contribute to storage cost benchmarking and reporting, providing data-driven insight into storage spend within the AWS environment.

Data Lifecycle Management
Define and enforce data lifecycle policies governing the progression of data through active, scratch, cold, and archive states;implement and maintain automated tiering and expiration workflows.

Archiving & Retention Strategy
Lead the definition and implementation of an engineering simulation data archival standard;ensure alignment with the broader engineering simulation data retention strategy.

Collaborative Storage Governance
Partner with DT to define and maintain collaborative team and project folder structures;establish and communicate standard work for shared HPC storage use.

AI Readiness Enablement
Support the organization's initiative to define engineering simulation data standards that ensure data is structured and accessible for AI/ML workloads.

Other Job Requirements:
This role requires access to U.S. Export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. Export-controlled information from the U.S. Government.