HPC Solutions Architect

HPC Solutions Architect
Location: Dallas, TX (Hybrid) - relocation available

• Competitive base salary + performance bonus
• 100% company-paid benefits

**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

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

Required Experience

• 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 identity, 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

Preferred 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-generation 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