5 days ago

Senior Developer Relations Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 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: Bengaluru, Mumbai, Pune

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

5 days ago

Senior Developer Relations Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Bengaluru, Mumbai, Pune

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

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: 4.3

Website LinkedIn Glassdoor