Teams at NVIDIA

Architect and deliver generative AI solutions centered on LLM training, optimization, deployment, and RAG workflows. The role involves customer collaboration, technical workshops, pre-sales presentations, solution integration, and technical leadership. Responsibilities include fine-tuning models, optimizing GPU-based inference, designing scalable training workflows, and partnering with NVIDIA engineering teams. Candidates need deep expertise in language models, TensorFlow, PyTorch, Hugging Face, GPU clusters, and production deployments, with cloud, containerization, and Kubernetes experience preferred.

Supports and operates NVIDIA’s large-scale on-premises and cloud network infrastructure in a 24/7 global operations environment. Responsibilities include monitoring alerts, resolving incidents within SLAs, troubleshooting network issues, managing IP infrastructure and datacenter interconnects, coordinating vendors, implementing upgrades and capacity expansions, improving operational workflows, and documenting best practices. The role requires extensive networking protocol knowledge, cloud experience, automation exposure, and strong incident-management and communication skills.

Lead strategic partner engagement with major Indian conglomerates to identify, design, and scale enterprise AI workloads. Build executive and technical relationships, coordinate cross-functional NVIDIA teams, run workshops and architecture reviews, develop repeatable use cases, and capture account requirements and product feedback to deliver deployable, scalable AI outcomes across cloud, data center, edge, and industrial environments.