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高级客户技术项目经理 - AI数据中心

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

Lead strategic technical programs with Cloud Service Providers to deploy NVIDIA's AI infrastructure,

岗位职责

At NVIDIA, we are at the forefront of AI and accelerated computing, redefining the world's largest industries and creating a profound impact on society.
As part of the Customer Program Management Team, you will lead strategic technical programs with Cloud Service Providers (CSPs), driving the deployment of NVIDIA’s innovative AI infrastructure.
This role offers a groundbreaking opportunity to work with brand-new technologies, such as the powerful
NVIDIA GB300 NVL72platform, delivering unmatched data center-scale performance.
What you'll be doing:
• Leading execution and technical engagement directly with CSPs and their
ODM/OEM partners.
• Integrating datacenter tools and operationalizing processes for AI factory build-out, resolving any blocking issues to keep projects on track.
• Ensuring reliable assembly of groundbreaking AI infrastructure platforms by working closely with CSP’s ODMs or OEMs to meet specified metrics and schedules.
• Assembling and guiding cross-functional teams, ensuring alignment and execution excellence.
• Providing technical direction on server system building in collaboration with subject matter experts, and managing project timelines by proactively resolving blockers.
• Ensure timely delivery of customer-specific features and production deployment.
• Communicate program status, risks, and insights to senior leadership.
What we need to see:
• Demonstrated experience in program/project management involving direct interaction with customers.
• 8
years of experience managing programs and projects involving direct engagement with customers.
• Strong leadership skills in global, matrixed environments.
• Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related field.
• A solid track record of successfully managing complex, large-scale datacenter projects.
• A willingness to continue learning new skills and growing capabilities as
NVIDIA ventures into new markets.
Ways to stand out from the crowd:
• Strong customer facing experience • Deep experience leading technical programs for CSPs.
• Hands-on expertise in large-scale compute server build and deployment.
• Strong cross-functional teamwork across globally distributed teams.
NVIDIA is widely considered to be one of the technology world’s most desirable employers.
We have some of the most forward-thinking and hardworking people in the world working for us.
If you're creative, collaborative, and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 24, 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

Demonstrated experience in program/project management involving direct interaction with customers.
8+ years of experience managing programs and projects involving direct engagement with customers.
Strong leadership skills in global, matrixed environments.

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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