HPC Storage Solutions Architect
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Job Location:
Marshall County, WV - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
HPC Storage Solutions Architect
Location: Dallas TX (Hybrid)
Type: Direct Hire
Competitive base salary performance bonus
100% company-paid benefits
Overview
We are seeking an HPC Storage Solutions Architect to design integrate and optimize high-performance storage architectures supporting HPC AI/ML and large-scale data-intensive workloads.
This is a customer-facing technically focused role responsible for guiding clients through the full solution lifecyclefrom requirements discovery and workload analysis through architecture design proof-of-concept deployment and long-term optimization. The role ensures that storage systems are aligned with workload demands delivering high throughput low latency and scalable performance.
The ideal candidate brings deep expertise in distributed storage systems strong experience with multi-petabyte environments and the ability to translate complex workload requirements into efficient production-ready storage solutions.
Key Responsibilities
Customer Engagement & Architecture Leadership
Serve as the primary storage subject matter expert for customers deploying or scaling HPC environments
Capture storage requirements performance objectives and capacity planning needs
Lead customer workshops architecture discussions and technical design sessions
Storage Architecture & Design
Design and document end-to-end storage architectures including parallel and distributed file systems (Lustre GPFS Ceph VAST) object storage and tiered storage solutions
Develop scalable resilient architectures aligned with HPC AI/ML and data-intensive workloads
Create architecture blueprints integration guides and reusable design patterns
Performance Optimization & Workflow Engineering
Lead proof-of-concept and benchmarking initiatives to validate performance and scalability
Conduct workflow assessments and storage usage reviews to optimize throughput latency and cost efficiency
Troubleshoot and resolve performance bottlenecks across storage and data pipelines
Integration & Infrastructure Design
Define integration strategies across compute networking and orchestration layers
Ensure seamless end-to-end performance across HPC environments
Support file system protocols including NFS SMB and POSIX-based systems
Automation & Platform Delivery
Implement Infrastructure-as-Code and automation practices using tools such as Ansible and Terraform
Deliver consistent repeatable storage deployments and operational workflows
Cross-Functional Collaboration
Partner with engineering product and operations teams to refine storage platforms and offerings
Collaborate with compute networking and Kubernetes teams to ensure integrated solutions
Support multi-vendor environments and evaluate emerging storage technologies
Vendor & Ecosystem Engagement
Work with vendors such as Dell VAST Data HPE and Rubrik to integrate new capabilities
Provide customer-driven feedback to influence vendor roadmaps and feature development
Stay current on emerging storage technologies protocols and data management practices
Thought Leadership & Innovation
Represent the organization in customer workshops technical reviews and industry events
Provide forward-looking guidance on storage trends scalability strategies and platform evolution
Contribute to best practices and standardized architecture frameworks
Required Experience
Proven experience in storage solution architecture HPC storage engineering or large-scale distributed storage design
Deep expertise in parallel and distributed file systems including Lustre GPFS Ceph and VAST
Experience designing deploying and scaling multi-petabyte storage environments
Strong knowledge of Linux storage stack tuning and file system protocols (NFS SMB POSIX)
Experience implementing automation and Infrastructure-as-Code practices (Ansible Terraform)
Proven ability to troubleshoot and optimize storage workflows for HPC AI/ML or data-intensive workloads
Strong customer-facing communication skills with the ability to present complex architectures clearly
Preferred Experience
Experience delivering HPC or AI/ML workloads in high-performance storage environments
Familiarity with data protection backup and recovery technologies integrated with HPC storage
Experience working within multi-vendor storage ecosystems
Exposure to workflow optimization for data pipelines simulation or scientific computing
Bachelors or Masters degree in Computer Science Engineering or related field
Certifications such as NetApp NCIE Dell EMC Proven Professional Red Hat RHCE or cloud certifications (AWS Azure GCP)
