HPC/GPU Customer Solutions Engineer

HPC Customer Solutions Architect Location:

Dallas, TX

Work Arrangement: Hybrid Employment Type: Direct Hire Compensation: Competitive Base Salary + Performance Bonus Benefits: 100% Company-Paid Benefits Overview Our client is seeking an HPC Customer Solutions Architect to lead the technical design, integration, and delivery of high-performance computing and AI infrastructure solutions.

This is a highly technical, customer-facing role focused on designing scalable architectures across GPU/CPU compute, storage, networking, Kubernetes, orchestration, and security . The position spans the full solution lifecycle from technical discovery and workload analysis through proof-of-concept, deployment, and ongoing optimization.

The ideal candidate brings deep HPC and AI infrastructure expertise, strong hands-on system design and performance tuning experience, and the ability to translate complex customer requirements into scalable, production-ready solutions.

Customer Engagement & Technical Discovery

Work directly with customers to understand workload requirements, performance targets, and technical objectives. Lead technical discovery sessions focused on application behavior, bottlenecks, scalability, and infrastructure requirements. Serve as a trusted technical advisor throughout the solution lifecycle.

Solution Architecture

Design end-to-end HPC and AI architectures across compute, storage, networking, orchestration, and security. Recommend hardware and software solutions aligned with performance, scalability, reliability, and efficiency goals. Develop architecture blueprints, integration plans, and technical documentation.

Design solutions supporting GPU-intensive AI/ML, LLM, and advanced compute workloads.

Performance & Workload Optimization

Support proof-of-concept, benchmarking, and performance-validation initiatives. Perform workload profiling, system tuning, and infrastructure optimization. Identify bottlenecks across compute, storage, networking, and orchestration layers.

Recommend improvements that increase workload performance, scalability, and resilience. Implementation & Delivery Provide technical leadership during deployment and integration. Partner with customers and internal Engineering, Product, and Operations teams throughout implementation.

Support solutions from architecture through production deployment and optimization. Troubleshoot complex infrastructure and workload issues during delivery. Technical Leadership Maintain expertise across emerging HPC, AI, GPU, storage, networking, and orchestration technologies.

Build relationships with technology partners across GPU, networking, and storage ecosystems. Contribute to reference architectures, reusable design patterns, and technical best practices. Lead customer workshops, architecture reviews, and technical presentations.

Required Qualifications

Experience designing HPC, AI infrastructure, large-scale compute, or distributed systems solutions.

Strong technical expertise across

GPU and CPU architectures NVIDIA / CUDA ecosystem Slurm and Kubernetes InfiniBand, RDMA, and RoCE Lustre, GPFS / Spectrum Scale, Ceph, VAST, or similar storage platforms Kubernetes and container orchestration Identity, encryption, and infrastructure security Strong Linux systems knowledge, including tuning and performance analysis. Experience translating workload requirements into detailed technical architectures.

Experience with proof-of-concept, benchmarking, or workload optimization. Strong customer-facing communication and presentation skills. Ability to work effectively with engineering, product, operations, and executive stakeholders.

Preferred Experience AI/ML, LLM, GPU, or HPC workloads. NVIDIA GPU infrastructure. Containerized HPC environments.

Automation and Infrastructure-as-Code. Workload migration and performance engineering. Next-generation GPU and high-speed interconnect technologies.

Bachelor's or Master's degree in Computer Science, Engineering, Physics, or related field. Relevant cloud, Linux, networking, Kubernetes, or security certifications.