HPC Solutions Architect
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Job Location:
Marshall County, WV - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
HPC Solutions Architect
Location: Dallas TX (Hybrid)
Type: Direct Hire
Competitive base salary performance bonus
100% company-paid benefits
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 lifecyclefrom 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
Bachelors or Masters 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
