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Tier-1 employer and metro location create moderate candidate competition for this senior specialist role.
Role requires NVIDIA GPU, ML infrastructure, and enterprise AI experience, limiting cross-industry transferability.
Explicit 10+ years plus mandatory NVIDIA/ML platform expertise and executive engagement make hiring filters strict.
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Lead Developer Relations strategy to drive NVIDIA platform adoption across AI labs and startups in India.
Engage directly with ML researchers, infrastructure teams, and CTOs to support model development, training, benchmarking, deployment, and inference performance.
Translate developer feedback and workload profiling into actionable product insights and technical resources like demos, code samples, workshops, and architecture guides.
Bachelor’s degree in engineering, computer science, business technology, or related technical field, or equivalent experience.
10+ years experience in strategic partnerships, enterprise tech, solution architecture, technical sales, business development, product management, or developer ecosystems.
Strong knowledge of AI, cloud infrastructure, data platforms, AI deployment lifecycles, and hands-on NVIDIA technologies (e.g. CUDA, Triton, TensorRT).
Ability to engage senior executives and engineering teams with technical credibility; experience working across complex, matrixed organizations.
Senior technical leader with hands-on experience reading code, building demos, running benchmarks, and debugging ML workloads.
Experience interacting with AI labs, ML researchers, startups, or large conglomerates on AI platform adoption.
Skills to develop scalable use cases and shape strategic adoption plans for NVIDIA AI and enterprise software platforms.