Senior Developer Relations Manager

NVIDIA
India
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 10+ yearsEducation: bachelorsSkills: ["Communication","Stakeholder management","Commercial judgment","Structured account planning","Execution"]

Lead NVIDIA’s strategic partner engagement with India’s major conglomerates, translating executive-level interest into deployable, scalable AI outcomes. Build engagement plans, cultivate executive and technical relationships, and identify high-value enterprise and industrial AI workloads. Coordinate cross-functional teams across sales, product, engineering, solution architecture, and partners, running workshops and technical reviews while capturing requirements, blockers, competitive insights, and product feedback.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior Developer Relations Manager

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Last checked: 15 hours agoStatus: Live

Job Summary

Lead NVIDIA’s strategic partner engagement with India’s major conglomerates, translating executive-level interest into deployable, scalable AI outcomes. Build engagement plans, cultivate executive and technical relationships, and identify high-value enterprise and industrial AI workloads. Coordinate cross-functional teams across sales, product, engineering, solution architecture, and partners, running workshops and technical reviews while capturing requirements, blockers, competitive insights, and product feedback.
Location: India
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Build and execute strategic engagement plans for major Indian conglomerates and industrial AI accounts.
  • •Develop executive and technical relationships with CIOs, CTOs, business unit leaders, AI platform teams, innovation teams, and developers.
  • •Identify and prioritize high-value AI workloads such as private AI, enterprise copilots, accelerated analytics, digital twins, simulation, predictive maintenance, industrial computer vision, and manufacturing intelligence.
  • •Help partners understand and adopt NVIDIA platforms across cloud, data center, edge, and industrial environments.
  • •Coordinate cross-functional NVIDIA teams and run workshops, solution days, technical architecture reviews, and enablement sessions while capturing requirements and product feedback.

Key Requirements

  • •Bachelor’s degree in engineering, computer science, business technology, or related technical discipline, or equivalent experience.
  • •10+ years of experience in strategic partnerships, enterprise technology, solution architecture, technical sales, business development, product management, or developer ecosystem roles.
  • •Strong understanding of enterprise AI, private AI, cloud infrastructure, data platforms, modern application architecture, and AI deployment lifecycles.
  • •Ability to engage senior executives and hands-on engineering or architecture teams with equal credibility.
  • •Working familiarity with NVIDIA AI Enterprise, NVIDIA NIM, Triton Inference Server, TensorRT, TensorRT-LLM, CUDA, NGC containers, NVIDIA GPU Operator, and cloud/data center deployment patterns.
Experience:10+ yearsEnterprise AIPrivate AICloud infrastructureData platformsIndustrial AIDigital twinsSimulation
Education:Bachelor's
Skills:CommunicationStakeholder managementCommercial judgmentStructured account planningExecution
Tech Stack:NVIDIA AI EnterpriseNVIDIA NIMTriton Inference ServerTensorRTTensorRT-LLMCUDANGC containersNVIDIA GPU 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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