Job Description
HPC Solutions Architect
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Location: Dallas, TX (Hybrid)
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Type: Direct Hire
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• Competitive base salary + performance bonus
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• 100% company-paid benefits
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Overview
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We are seeking an HPC Solutions Architect to drive the technical design, integration, and delivery of high-performance computing (HPC) solutions supporting advanced compute workloads.
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This is a highly technical, customer-facing role focused on designing scalable, high-performance architectures across compute, storage, networking, Kubernetes, and security domains. The position spans the full solution lifecycle—from requirements discovery and workload analysis through proof-of-concept, deployment, and ongoing optimization.
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The ideal candidate brings deep expertise in HPC architectures, strong hands-on experience with performance tuning and system design, and the ability to translate complex customer requirements into scalable, production-ready solutions.
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Key Responsibilities
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Customer Engagement & Technical Discovery
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• Work directly with customers to understand HPC workload requirements, performance targets, and technical objectives
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• Lead technical discovery sessions to assess application characteristics, bottlenecks, and scalability challenges
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• Serve as a trusted technical advisor throughout the solution lifecycle
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Solution Architecture & Design
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• Design and document end-to-end HPC architectures across compute (CPU/GPU), storage, networking, orchestration, and security
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• Recommend hardware and software solutions aligned with performance, scalability, and efficiency goals
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• Develop architecture blueprints, integration guides, and implementation plans
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Performance Optimization & Workload Engineering
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• Support proof-of-concept and benchmarking initiatives to validate solution performance
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• Perform workload profiling, system tuning, and performance optimization
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• Conduct workload reviews to improve scalability, resilience, and efficiency
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Implementation & Delivery
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• Provide technical guidance during deployment to ensure seamless integration into customer environments
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• Act as a liaison between customers and internal engineering, product, and operations teams
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• Support solution delivery from design through implementation and optimization
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Cross-Functional Collaboration
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• Partner with engineering and product teams to incorporate customer feedback into platform improvements
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• Build relationships with vendors across GPU, networking, and storage ecosystems
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• Collaborate with internal teams to refine HPC solution offerings
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Innovation & Technical Leadership
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• Stay current on HPC technologies including GPUs, accelerators, interconnects, and orchestration frameworks
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• Represent the organization in customer workshops, solution reviews, and technical presentations
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• Contribute to best practices, reference architectures, and reusable design patterns
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Required Experience
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• Proven experience in HPC solution architecture, systems integration, or large-scale distributed systems design
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• Strong expertise across:
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- GPU and CPU architectures (CUDA, NVIDIA ecosystem)
- Workload schedulers such as Slurm and Kubernetes
- High-performance networking (InfiniBand, RDMA, RoCE)
- Distributed storage systems (Lustre, GPFS, Ceph, VAST)
- Kubernetes and container orchestration for HPC workloads
- Security integration including identity, encryption, and compliance
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• Strong Linux systems knowledge including tuning, performance profiling, and system-level optimization
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• Ability to translate customer requirements into detailed architecture and integration plans
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• Strong communication skills with experience leading workshops, technical reviews, and customer engagements
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• Experience working cross-functionally with engineering, product, and operations teams
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• Ability to present complex technical solutions to both technical and executive audiences
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Preferred Experience
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• Experience delivering HPC or AI/ML workloads from design through deployment and optimization
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• Familiarity with containerized HPC environments (e.g., Kubernetes, Singularity)
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• Experience with automation and infrastructure deployment practices
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• Background in proof-of-concept delivery, benchmarking, and workload migration
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• Awareness of emerging HPC technologies including next-generation GPUs and interconnects
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• Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, or related field
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• Relevant certifications such as AWS Solutions Architect, Azure Solutions Architect Expert, GCP Professional Cloud Architect, CCNP, RHCE, CKA, or CKS