Minimum 10 years in technical pre-sales, solutions architecture, or advanced engineering roles at a solutions provider, OEM, cloud provider, or consulting firm.
Hands-on experience designing AI/ML infrastructure and platforms. Must be able to whiteboard an end-to-end AI architecture from GPU cluster design through networking, storage, software staock, MLOps pipeline, and inference deployment.
Working knowledge of NVIDIA DGX/HGX systems, CUDA, AI Enterprise software suite, and partner integration patterns.
Experience with AI workloads across on-premises, cloud (AWS, Azure, GCP), and hybrid environments. Understanding of NCP models, GPU-as-a-service, and sovereign AI infrastructure.
Exceptional ability to translate technical complexity into business-relevant narratives. Strong presentation and whiteboarding skills.
Comfortable operating in a revenue-generating, pre-sales context. Understands that the purpose of technical engagement is to advance deals.
Experience collaborating in co-selling models with sales specialists, field account teams, and partner SE resources.
Bachelor's degree in computer science, engineering, or related field required.
Preferred Qualifications
NVIDIA-certified or equivalent AI/ML platform certifications.