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Posted a day ago
Principal Solutions Architect
ePlusPrincipal Solutions Architect
Requirements
8+ years solutions architecture experience, 4+ years GPU/HPC experience, Experience with NVIDIA DGX/HGX, Knowledge of InfiniBand and RDMA, Experience with parallel storage, Kubernetes and SLURM proficiency
Skills
NVIDIAGPUKubernetes
About the role
Responsibilities
- Lead end-to-end design, sizing, and deployment of NVIDIA AI Factory-aligned infrastructure
- Architect full-stack AI solutions integrating GPU compute, high-performance networking, and parallel storage
- Develop detailed Bills of Materials (BOMs), rack elevation diagrams, and network topology drawings
- Specify colocation requirements including power load, cooling configurations, and PUE targets
- Design backend GPU fabric networks using InfiniBand and Ethernet-based AI networking
- Architect multi-tier parallel storage hierarchies for AI training and checkpointing
- Deploy and configure NVIDIA AI Enterprise software stack and orchestration tools like Kubernetes and SLURM
- Serve as the primary technical point of contact for enterprise and hyperscale customers
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or related technical discipline
- 8+ years of solutions architecture or systems engineering experience
- 4+ years focused on GPU infrastructure or HPC environments
- Proven experience designing NVIDIA DGX or HGX-based GPU clusters
- Deep understanding of distributed deep learning concepts like tensor and pipeline parallelism
- Hands-on experience with InfiniBand, RDMA, and high-speed Ethernet fabric design
- Experience with parallel storage systems such as VAST, Hammerspace, or Lustre
- Strong working knowledge of Kubernetes and GPU workload schedulers
- Proficiency in Linux system administration and CUDA environments
Preferred Qualifications
- NVIDIA-certified professional credentials
- Experience with NVIDIA Base Command Platform or Mission Control
- Familiarity with sovereign AI or regulated industry infrastructure
- Experience integrating AI infrastructure with public clouds (AWS, Azure, GCP)
- Background in MLOps, LLMOps, or platform engineering
About the Company
At ePlus, we believe technology is a people business. Our team is passionate, skilled, and driven to deliver solutions that make a real difference through collaboration and innovation.
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Get started — it's freePrincipal Solutions Architect
ePlus · San Ramon
