Teams at NVIDIA

Leads technical engagements with enterprise customers, OEMs, and partners to design, validate, and deploy scalable NVIDIA AI solutions. Advises customers on hardware and software architecture, runs proofs of concept and demos, writes code for data pipelines and AI model training, and deploys solutions on container orchestrators. Drives platform adoption, resolves complex technical issues, enables partners, and influences NVIDIA product and engineering priorities.

Designs, deploys, and maintains large-scale AI and HPC cloud infrastructure for enterprise and research customers. Responsibilities include Kubernetes platform optimization, Linux and storage administration, automation, monitoring, troubleshooting, solution architecture, customer engagements, technical documentation, proof-of-concept activities, and collaboration with engineering, product, and sales teams. The role also provides strategic guidance on DevOps, GPU-accelerated computing, networking, cluster operations, and long-term infrastructure decisions.

Designs and deploys large-scale NVIDIA Neo Cloud infrastructure architectures across data center providers, OEMs, and cloud partners. Serves as a trusted technical advisor, leading solution design, validation, troubleshooting, deployment planning, documentation, and customer engagements. Partners with engineering, product, services, and post-sales teams to address technical gaps, improve operational excellence, and guide long-term infrastructure decisions. Requires deep HPC, AI, GPU, networking, storage, and data center architecture expertise.