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GE
Principal - Infrastructure Architect
GE AerospaceUnited Statesfull_timeVerifiedPosted 9 Jul 2025
About the role
Job Description Summary
As Principal Architect, you will lead the design and deployment of a next-generation Digital Engineering Ecosystem that integrates hybrid compute environments, modern hosting strategies, and a hub and spoke model that enables collaborative frameworks and synchronized tools.This role focuses on unifying on-premises HPC clusters, engineering workstations, and cloud-native (AWS) resources into a scalable, secure, and high-performance infrastructure. You will also drive an enterprise connected tools strategy to enable immersive, real-time collaboration across global engineering teams for model-based systems engineering (MBSE), multi-physics simulation, and digital twin development.
Job Description
Core Responsibilities:
Hybrid Compute & Hosting Strategy
- Architect and deliver hybrid compute solutions spanning HPC clusters, high-end engineering workstations, and AWS (EC2, S3) for dynamic scaling of engineering workloads.
- Define and implement hosting architectures for digital engineering tools and environments, balancing performance, cost, and accessibility.
- Develop orchestration strategies leveraging tools like Kubernetes and containerization technologies (Docker) for distributed simulation pipelines.
- Optimize data movement, workload scheduling, and compute resource allocation across hybrid environments and global sites.
Collaborative Digital Engineering
- Drive GE Aerospace’s enterprise hub-and-spoke strategy, mirroring OpenUSD framework, developing an omniverse to build real-time, immersive digital collaboration spaces for design and simulation.
- Enable integration of diverse engineering data (CAD/CAE, MBSE, simulation results) into unified scenes for cross-domain visualization and decision-making.
Database Architecture for Tracking & Searchability
- Design and implement scalable database architectures (relational and NoSQL) to track engineering models, simulation results, and metadata across the digital ecosystem.
- Enable advanced searchability of engineering artifacts using indexing, tagging, and semantic search technologies.
- Integrate databases with PLM systems, simulation environments, and collaborative platforms to support versioning, traceability, and compliance.
- Leverage graph databases (e.g., Neo4j) and knowledge graphs for complex relationship mapping across multi-disciplinary datasets.
Systems Architecture & Toolchain Integration
- Design a cohesive architecture that integrates CAD/CAE platforms (CATIA, NX, ANSYS), MBSE frameworks (Cameo), and PLM systems (Teamcenter).
- Develop and oversee development of APIs and middleware to ensure interoperability across tools, platforms, and compute environments.
- Implement secure, version-controlled workflows for distributed engineering teams.
Security & Compliance
- Establish robust cybersecurity protocols for data transfer between HPC, workstations, and AWS, ensuring compliance with ITAR, export controls, and aerospace standards (NIST 800-171, CMMC).
Digital Twin Enablement & AI Integration
- Architect real-time digital twin frameworks powered by hybrid compute backends for predictive analytics and lifecycle management.
- Integrate AI/ML pipelines for design space exploration, anomaly detection, and performance optimization.
Technical Leadership
- Provide cross-disciplinary technical guidance to engineering, IT, and design tools teams for deploying and operating hybrid compute environments at scale.
- Collaborate with AWS architects, HPC administrators, and GE Aerospace leadership to align compute and hosting architecture with future flight programs.
Minimum Qualifications:
- Bachelor’s degree in Aerospace Engineering, Computer Science, Systems Engineering, or related field.
- Minimum of 5 years’ experience in hosting, networking, or high-complexity digital environments.
- Proven track record architecting and deploying hybrid compute infrastructures integrating HPC, cloud, and engineering workstations.
- Deep understanding of MBSE, multi-disciplinary optimization (MDO), and high-fidelity simulation workflows.
Technical Expertise:
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