HPC Solutions Architect in Dallas

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.

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.

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.

Key Responsibilities

Customer Engagement & Technical Discovery

• Work directly with customers to understand HPC workload requirements, performance targets, and technical objectives

• Lead technical discovery sessions to assess application characteristics, bottlenecks, and scalability challenges

• Serve as a trusted technical advisor throughout the solution lifecycle

Solution Architecture & Design

• Design and document end-to-end HPC architectures across compute (CPU/GPU), storage, networking, orchestration, and security

• Recommend hardware and software solutions aligned with performance, scalability, and efficiency goals

• Develop architecture blueprints, integration guides, and implementation plans

Performance Optimization & Workload Engineering

• Support proof-of-concept and benchmarking initiatives to validate solution performance

• Perform workload profiling, system tuning, and performance optimization

• Conduct workload reviews to improve scalability, resilience, and efficiency

Implementation & Delivery

• Provide technical guidance during deployment to ensure seamless integration into customer environments

• Act as a liaison between customers and internal engineering, product, and operations teams

• Support solution delivery from design through implementation and optimization

Cross-Functional Collaboration

• Partner with engineering and product teams to incorporate customer feedback into platform improvements

• Build relationships with vendors across GPU, networking, and storage ecosystems

• Collaborate with internal teams to refine HPC solution offerings

Innovation & Technical Leadership

• Stay current on HPC technologies including GPUs, accelerators, interconnects, and orchestration frameworks

• Represent the organization in customer workshops, solution reviews, and technical presentations

• Contribute to best practices, reference architectures, and reusable design patterns

• Proven experience in HPC solution architecture, systems integration, or large-scale distributed systems design

• Strong expertise across:

• 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 , encryption, and compliance

• Strong Linux systems knowledge including tuning, performance profiling, and system-level optimization

• Ability to translate customer requirements into detailed architecture and integration plans

• Strong communication skills with experience leading workshops, technical reviews, and customer engagements

• Experience working cross-functionally with engineering, product, and operations teams

• Ability to present complex technical solutions to both technical and executive audiences

Experience

• Experience delivering HPC or AI/ML workloads from design through deployment and optimization

• Familiarity with containerized HPC environments (e.g., Kubernetes, Singularity)

• Experience with automation and infrastructure deployment practices

• Background in proof-of-concept delivery, benchmarking, and workload migration

• Awareness of emerging HPC technologies including next- GPUs and interconnects

• Bachelor's or Master's degree in Computer Science, Engineering, Physics, or related field

• Relevant certifications such as AWS Solutions Architect, Azure Solutions Architect Expert, GCP Professional Cloud Architect, CCNP, RHCE, CKA, or CKS

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