Back
Tier-1 employer in Bengaluru and a visible ML DevRel role attract many qualified candidates.
Requires specialized GPU, ML platform, and NVIDIA SDK experience, limiting cross-industry transferability.
Requires 8+ years, deep ML/AI expertise, NVIDIA SDKs, and proven DevRel track record.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead Developer Relations strategy to increase NVIDIA platform adoption across AI Labs in India, focusing on model development, training, optimization, deployment, and inference.
Build and maintain technical relationships with founders, CTOs, ML researchers, infrastructure teams, and developer communities, providing hands-on support such as demos, benchmarks, workshops, and troubleshooting.
Assess and profile AI workloads to identify GPU acceleration fit and translate developer feedback into product insights for NVIDIA engineering teams.
Bachelor's degree in engineering, computer science, data science, or related technical discipline, or equivalent experience.
8+ years experience in technical Developer Relations, ML engineering, AI platforms, model infrastructure, cloud platforms, solution architecture, or startup technical engagement.
Strong programming skills in Python; familiarity with C++, CUDA or other performance environments preferred.
Deep understanding of generative AI, deep learning, ML lifecycle, inference serving, optimization, distributed training, MLOps, plus experience with AI frameworks (PyTorch, TensorFlow, JAX, Hugging Face) and deployment tools (containers, Kubernetes, CI/CD).
Senior technical DevRel leader with ability to engage deeply with both technical developers and senior business stakeholders through demos, code reviews, and architecture discussions.
Experience working hands-on with NVIDIA AI software and SDKs such as NeMo, TensorRT-LLM, Triton, CUDA, Nsight, and AI Enterprise for model training, customization, and inference workflows.
Demonstrated expertise in profiling AI workloads, building benchmark plans, inference optimization techniques, and possibly contributing public technical content or developer community programs.