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HPC Storage Architect
Posted: 03/27/2026
Employment Type:
Direct Hire
Job Number: 28020
Pay Rate: $ - $
Remote Friendly?:
Job Description
HPC Storage Architect
Location: Dallas, TX
**This position requires applicants to be currently authorized to work in the U.S. Without employer sponsorship. We are unable to sponsor or take over sponsorship of employment visas at this time**
Overview
This organization is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance high-performance computing (HPC) and cloud infrastructure that supports clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.
As an HPC Storage Solutions Architect, you will design, integrate, and optimize high-performance storage architectures that underpin HPC, AI/ML, and large-scale data-intensive workloads. You will act as a trusted advisor to customers, guiding them through the full solution lifecycle —from requirements discovery and workload analysis, through solution design, proof-of-concept, and deployment, to workflow optimization and long-term adoption.
This is a customer-facing technical role with a focus on building scalable, resilient, and efficient storage systems. You will ensure that customer workloads —from simulation and AI training to data pipelines and scientific research —are matched with the right file systems, protocols, and architectures to deliver maximum performance. You will also collaborate closely with product, engineering, and vendor partners, influencing both platform evolution and the adoption of emerging storage technologies.
Key Responsibilities
Customer Engagement & Advisory
- Serve as the primary storage subject matter expert (SME) for customers deploying or scaling HPC environments.
- Partner with customers to capture workload storage requirements, performance objectives, and capacity planning needs.
- Lead proof-of-concept and benchmarking initiatives, validating performance, scalability, and resiliency of storage designs.
- Conduct workflow assessments and storage usage reviews, recommending optimizations to improve throughput, latency, and cost efficiency.
- Represent the team at customer workshops, technical reviews, and industry forums, building strong technical relationships.
- Stay up to date with emerging storage technologies, protocols, and data management practices, providing future insight to customers on adoption strategies.
Architecture & Design
- Design and document end-to-end storage architectures, including parallel/distributed file systems (e.G., Lustre, GPFS, Ceph, VAST), object storage, and tiered solutions.
- Implement integration strategies across compute, networking, and orchestration layers to ensure seamless end-to-end performance.
- Develop architecture blueprints, reusable design patterns, and integration guides to standardize HPC storage solutions.
- Work with infrastructure-as-code and automation practices (e.G., Ansible, Terraform) to deliver consistent, repeatable storage environments.
Collaboration & Innovation
- Collaborate with engineering, product, and operations teams to refine storage offerings and influence platform strategy.
- Partner with vendors (e.G., Dell, VAST, HPE, Rubrik) to integrate new features, evaluate emerging technologies, and provide customer-driven feedback into vendor roadmaps.
Required Experience
- Demonstrated experience in storage solution architecture, HPC storage engineering, or large-scale distributed storage design.
- Strong technical expertise in parallel and distributed file systems (Lustre, GPFS, Ceph, VAST) and object storage platforms.
- Hands-on experience with multi-petabyte storage systems, including design, deployment, and scaling.
- Skilled in Linux storage stack tuning, file system protocols (NFS, SMB, POSIX), and performance optimization.
- Experience implementing storage automation and infrastructure-as-code practices (e.G., 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 explain complex storage architectures to technical and non-technical stakeholders.
Preferred Experience
- Experience delivering HPC or AI/ML workloads on large-scale, high-performance storage environments.
- Familiarity with data protection, backup, and recovery technologies integrated with HPC storage.
- Exposure to multi-vendor storage ecosystems, including collaboration with leading hardware and software providers.
- Experience with workflow optimization for data pipelines, simulation workloads, or scientific computing.
- Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.
- Relevant Storage and systems certifications such as NetApp NCIE, Dell EMC Proven Professional, Red Hat RHCE, or cloud platform certifications like AWS Solutions Architect.
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