Senior Developer Relations Manager - FSI

NVIDIA
Mumbai
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Stakeholder management","Execution","Cross-functional collaboration","Technical leadership"]

Lead hands-on Developer Relations with India’s AI Labs to accelerate adoption of NVIDIA platforms for model development, training, optimization, deployment, and production inference. Build and execute a technical DevRel strategy, develop trusted relationships with researchers and ML infrastructure teams, profile workloads to qualify GPU-acceleration fit, and deliver demos, benchmarks, and workshops. Debug integrations, improve inference performance, and translate developer feedback into product and engineering requirements.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Developer Relations Manager - FSI

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Job Summary

Lead hands-on Developer Relations with India’s AI Labs to accelerate adoption of NVIDIA platforms for model development, training, optimization, deployment, and production inference. Build and execute a technical DevRel strategy, develop trusted relationships with researchers and ML infrastructure teams, profile workloads to qualify GPU-acceleration fit, and deliver demos, benchmarks, and workshops. Debug integrations, improve inference performance, and translate developer feedback into product and engineering requirements.
Location: Mumbai
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key 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.
  • •Profile AI Lab workloads to assess GPU-acceleration fit and distinguish compute-bound, memory-bound, IO-bound, network-bound, or orchestration-bound issues.
  • •Build technical demos and materials, run workshops and architecture reviews, debug integrations, improve inference performance, and capture developer feedback for product and engineering teams.

Key Requirements

  • •Bachelor’s degree in engineering, computer science, data science, or related 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 profiling AI workloads across compute, memory, I/O, networking, latency, throughput, batching, GPU suitability, and cost-performance tradeoffs.
  • •Working knowledge of NVIDIA AI technologies, including NIM, Triton, TensorRT, TensorRT-LLM, CUDA, Nsight, RAPIDS, NGC, NVIDIA AI Enterprise, and GPU Operator.
Experience:8+ yearsAI platformsCloud infrastructureFintechPaymentsBanking technologyData scienceDeveloper ecosystems
Education:Bachelor's
Skills:CommunicationStakeholder managementExecutionCross-functional collaborationTechnical leadership
Tech Stack:NIMTritonTensorRTTensorRT-LLMCUDANsightRAPIDSNGCNVIDIA AI EnterpriseGPU OperatorKubernetesMLOpsGenerative AIDeep learningReal-time inference

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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