HPC-Storage Solutions Architect

Title: HPC Storage Solutions Architect

Location: Dallas, TX

Duration: Direct Hire - Permanent Position

Compensation: $200K - $325K base, plus bonus ranging from $50K-$200K annually

Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

• 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.

• 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.
• Design and document end-to-end storage architectures, including parallel/distributed file systems (e.g., Lustre, GPFS, Ceph, VAST), object storage, and tiered solutions.
• Lead proof-of-concept and benchmarking initiatives, validating performance, scalability, and resiliency of storage designs.
• Implement integration strategies across compute, networking, and orchestration layers to ensure seamless end-to-end performance.
• Conduct workflow assessments and storage usage reviews, recommending optimizations to improve throughput, latency, and cost efficiency.
• 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.
• 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.
• Stay up to date with emerging storage technologies, protocols, and data management practices, providing future insight to customers on adoption strategies.
• Represent the team at customer workshops, technical reviews, and industry forums, building strong technical relationships.

• 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.

• 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…