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高级 AI 基础设施业务拓展经理 — 服务提供商与电信

雇主

NVIDIA

地点

Santa Clara · 美国

待遇

$面议

工作模式

线下

截止日期

1月10日

福利
Equity,Benefits

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岗位摘要

Senior Global Business Development Manager to drive AI infrastructure adoption with service provider

岗位职责

NVIDIA is changing how the largest service providers and telecom operators build and monetize AI infrastructure.
AI is shifting from centralized training to distributed inference.
Telcos and service providers are well positioned to become the next generation of AI infrastructure and services providers.
NVIDIA powers this transition.
We seek a Senior Global Business Development Manager to join our Service Provider/Telco team, ideally based in Santa Clara, CA.
You will work directly with our partners to implement
NVIDIA technologies, reference architectures, software, and ecosystem capabilities at scale.
This role supports partners in launching AI services and generating new revenue sources.
What you'll be doing:
• Build and manage relationships with telecom operators, service providers, model builders, and ISVs — from initial alignment through launch and scale.
• Define and drive go-to-market strategies with strategic partners to deploy AI Cloud infrastructure, AI inference services, and Enterprise AI solutions.
• Develop new business models and tokenomics frameworks spanning open weight AI models, Sovereign AI, and Token-as-a-Service — optimizing GPU utilization, efficiency, and cost per token.
• Identify and uncover Land-Power-Shell opportunities to develop Token factories and AI infrastructure capacity.
• Engage the
NVIDIA ecosystem to connect supply and demand across the AI infrastructure stack.
• Present and evangelize AI infrastructure opportunities to technology and business executives.
What we need to see:
• 12
years in business development, partnerships, or go-to-market roles within cloud, infrastructure, or technology.
• Technical proficiency in data center, cloud, and AI infrastructure.
• Proven ability to engage both engineering teams and C-suite executives.
• Experience operating effectively in large, cross-functional global organizations.
• Track record of building and scaling partner ecosystems.
• Bachelor's degree or equivalent experience.
• Willingness to travel approximately 40%.
Ways to stand out from the crowd:
• Extensive knowledge of AI token economics — inference performance, cost per token, GPU utilization, pricing, and Tokens-as-a-Service business models.
• Experience with AI GPU Neocloud providers or hyperscalers.
• Background in semiconductor, service provider, and/or telecom industries.
• Familiarity with the
NVIDIA software and platform stack.
• MBA or Master's preferred;
equivalent experience considered Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 184,000 USD - 299,000 USD for Level 5, and 216,000 USD - 345,000 USD for Level 6.
You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 21, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

申请条件

12+ years in business development, partnerships, or go-to-market roles within cloud, infrastructure, or technology.
Technical proficiency in data center, cloud, and AI infrastructure.
Proven ability to engage both engineering teams and C-suite executives.

雇主简介

NVIDIA is a technology company that designs GPUs and system-on-chip units for gaming, professional visualization, data centers, and automotive markets. The Physics Simulation Team focuses on physics simulation for robotics learning and evaluation.

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数据来源:NVIDIA

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