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Tier-1 brand plus metro location increase qualified applicant competition.
Requires deep ML, GPU, MLOps and FSI experience, making cross-industry transferability low.
Explicit 8+ years plus NVIDIA-specific, ML and regulated-environment requirements increase filtering strictness.
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Lead and execute Developer Relations strategy to grow NVIDIA platform adoption across AI Labs in India, focusing on foundation model training, inference optimization, and production model serving.
Build and maintain trusted relationships with founders, CTOs, ML researchers, and platform engineers, providing hands-on technical support including debugging, profiling workloads, and delivering workshops and demos.
Capture and translate developer feedback and workload profiling insights into product requirements and business inputs for NVIDIA product and engineering teams.
Bachelor’s degree in engineering, computer science, data science, or a related technical field, or equivalent experience.
8+ years experience in AI platforms, cloud infrastructure, fintech, payments, banking technology, data science, solution architecture, or developer ecosystems.
Strong knowledge in machine learning, deep learning, generative AI, real-time inference, MLOps, regulated environments, and production observability.
Working knowledge of NVIDIA AI technologies (NIM, Triton, TensorRT, CUDA, Nsight, RAPIDS, NGC, NVIDIA AI Enterprise, GPU Operator).
Senior technical Developer Relations leader able to earn credibility with ML researchers and platform engineers through hands-on technical engagement such as coding, profiling, and architecture discussions.
Experience profiling AI workloads across compute, memory, I/O, networking, batching, GPU suitability, and cost-performance tradeoffs relevant to regulated, high-availability environments.
Background in fintech, payments, banking technology, or financial risk and fraud systems, with ability to translate NVIDIA GPU computing into regulated workload playbooks or production adoption plans.