Senior Developer Relations Manager - Conglomerates

NVIDIA
Mumbai
Full timeFunction: Software EngineeringExperience: 10+ yearsEducation: bachelorsSkills: ["Communication","Stakeholder management","Cross-functional collaboration","Execution","Commercial judgment"]

Lead hands-on Developer Relations in 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, partner with ML researchers and infrastructure teams, and identify high-value workloads for GPU acceleration through profiling. Create demos, notebooks, benchmark plans, and run deep technical workshops, code labs, and architecture reviews while translating developer feedback into product and engineering input.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Developer Relations Manager - Conglomerates

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Job Summary

Lead hands-on Developer Relations in 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, partner with ML researchers and infrastructure teams, and identify high-value workloads for GPU acceleration through profiling. Create demos, notebooks, benchmark plans, and run deep technical workshops, code labs, and architecture reviews while translating developer feedback into product and engineering input.
Location: Mumbai
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 India’s AI Labs.
  • •Develop trusted relationships with founders, CTOs, ML researchers, ML infrastructure teams, platform leaders, and developer communities.
  • •Identify and accelerate high-value workloads (e.g., foundation model training, fine-tuning, RAG, multimodal AI, inference optimization, and production model serving).
  • •Assess GPU acceleration fit by profiling bottlenecks and categorizing compute vs memory vs IO vs network vs orchestration constraints.
  • •Create technical demos and reference materials and run workshops, code labs, architecture reviews, office hours, and technical webinars; debug integrations and translate feedback into product input.

Key Requirements

  • •Bachelor’s degree in engineering, computer science, business technology, or a related technical discipline, or equivalent experience.
  • •10+ years’ experience across strategic partnerships, enterprise technology, solution architecture, technical sales, business development, product management, or developer ecosystems.
  • •Strong knowledge of enterprise/private AI, cloud infrastructure, data platforms, modern application architecture, and AI deployment lifecycles.
  • •Experience engaging both senior executives and hands-on engineering/architecture teams with equal credibility.
  • •Working knowledge of NVIDIA AI Enterprise and related tools such as NIM, Triton, TensorRT, TensorRT-LLM, CUDA, NGC, and GPU Operator, including cloud and data-center deployment patterns.
Experience:10+ yearsDeveloper ecosystemsStrategic partnershipsEnterprise technologyCloud infrastructureAI deployment
Education:Bachelor's in engineering, computer science, business technology
Skills:CommunicationStakeholder managementCross-functional collaborationExecutionCommercial judgment
Tech Stack:NVIDIA AI EnterpriseNIMTritonTensorRTTensorRT-LLMCUDANGCGPU OperatorOmniverseIsaac Sim

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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