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Senior Developer Relations Manager - FSI

NVIDIA· Account Mgr, Dev Relations
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Mumbaifull-timePosted 2mo ago

About the role

Lead hands-on Developer Relations with India's AI Labs to accelerate NVIDIA platform adoption among researchers, ML infrastructure teams, and startup CTOs, focusing on model development, training, optimization, deployment, and production inference.

Responsibilities

  • Build and execute a technical Developer Relations strategy to grow NVIDIA platform adoption across AI Labs in India.
  • Develop trusted relationships with founders, CTOs, ML researchers, ML infrastructure teams, platform leaders, and developer communities.
  • Identify and accelerate high-value workloads such as foundation model training, fine-tuning, speech AI, retrieval augmented generation, multimodal AI, inference optimization, and production model serving.
  • Assess which AI Lab workloads are a strong fit for GPU acceleration by profiling bottlenecks and distinguishing compute-bound problems from memory-bound, IO-bound, network-bound, or orchestration-bound issues.
  • Build and adapt technical demos, sample code, notebooks, benchmark plans, reference architectures, and performance guides.
  • Run deep technical workshops, code labs, architecture reviews, office hours, developer sessions, technical webinars, and executive briefings.
  • Work hands-on with developers to debug integration issues, profile workloads, improve inference performance, and identify the right NVIDIA software stack for each use case.
  • Explain why similar model workloads may perform differently across labs due to model architecture, data pipeline design, batch size, latency targets, storage/network behavior, software stack, or deployment environment.
  • Capture developer feedback, technical blockers, competitive insights, and product requirements for NVIDIA product and engineering teams.

Qualifications

  • Bachelor’s degree in engineering, computer science, data science, or a related technical field—or equivalent experience.
  • 8+ years of experience in AI platforms, cloud infrastructure, fintech, payments, banking technology, data science, solution architecture, or developer ecosystems.
  • Strong knowledge of machine learning, deep learning, generative AI, real-time inference, data engineering, MLOps, and cloud-native systems.
  • Experience with regulated environments, high-availability systems, privacy, security, compliance, and production observability.
  • Ability to profile AI workloads across compute, memory, I/O, networking, latency, throughput, batching, GPU suitability, and cost-performance tradeoffs.
  • Ability to lead technical and business discussions with engineering, platform, risk, and senior stakeholder teams.
  • Excellent communication, stakeholder management, execution, and cross-functional collaboration skills.
  • Working knowledge of NVIDIA AI technologies, including NIM, Triton, TensorRT, TensorRT-LLM, CUDA, Nsight, RAPIDS, NGC, NVIDIA AI Enterprise, and GPU Operator.
  • Ability to apply NVIDIA technologies to fraud, risk, document AI, customer service, real-time decisioning, feature engineering, and large-scale analytics workloads.
  • Ability to design secure, observable, compliant, and cost-efficient GPU-accelerated deployments across cloud, data-center, Kubernetes, and hybrid environments.

Skills

Required:Technical leadership in Developer RelationsAI/ML workload profilingDemo & benchmark toolingStakeholder managementNVIDIA technologies familiarity
Last updated Aug 21, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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