Principal Solutions Architect (Req#1341)

Role: Solutions Architect leading design and deployment of NVIDIA AI Factory infrastructure for enterprise AI and ML workloads. Responsibilities: lead discovery workshops to capture workload requirements, architect end-to-end solutions integrating GPU compute, high-performance networking, storage, and AI software; develop BOMs, network diagrams, and capacity models; specify colocation and facility infrastructure; design GPU clusters optimized for training and inference; implement networking and storage architectures; deploy and configure NVIDIA AI software stack; engage with customers through technical proposals, POCs, and post-deployment support. Requirements: Bachelor's in Computer Science, Electrical or related engineering; 8+ years in solutions architecture, with at least 4 years focused on GPU or HPC environments; proven experience designing NVIDIA DGX/HGX clusters; expertise in distributed deep learning, high-speed networking, storage systems, Kubernetes, and Linux system management; strong communication skills. Preferred: NVIDIA certifications, experience with NVIDIA management platforms, cloud integration, MLOps, and contribution to open-source AI infrastructure projects. HighValue: focus on large-scale AI training, inference, and data science pipelines; experience with NVIDIA GPU and networking platforms like DGX, HGX, HGX, and BlueField, InfiniBand, Spectrum-X; storage solutions such as VAST, Hammerspace; advanced AI software deployment including NVIDIA AI Enterprise, RAPIDS, Triton; and orchestration tools like Kubernetes, SLURM. Work setup: not specified, customer-facing, highly technical, with frequent collaboration.