[Remote] Cloud Data Center Program Manager at NVIDIA

Texas, United States

NVIDIA Logo
Not SpecifiedCompensation
N/AExperience Level
N/AJob Type
Not SpecifiedVisa
N/AIndustries

Requirements

  • BS/MS (or equivalent experience) in Engineering, Computer Science or Business with technical program management experience
  • Project Management Professional (PMP) Certification a must
  • HPC Clustering or Data-Center technologies experience
  • 8+ years of project/program management in a technical setting
  • 5+ years of validated experience in HPC/Data Center setting
  • Excellent interpersonal skills with complementary teams and functional groups
  • Experience with Confluence, Microsoft Teams, SharePoint and Salesforce
  • Proactive, self-starter with ability to prioritize multiple tasks efficiently and adapt to shifting priorities

Responsibilities

  • Capture program requirements from NVIDIA Commercial customers, team members to create proposals and agreements required to complete projects for HPC, Data Center or Cloud-based Deployments
  • Prioritize and schedule projects; track and report project delivery; and communicate results to keep program aligned to strategy and mitigate risk
  • Implement the plan by scoping the project, identifying and assembling the core support team, formally kicking off the project with customers, developing a joint project timeline, supporting the project and account teams by providing technical collateral/tools, leading engineering design reviews, ensuring the implementation of any customer-required features, driving resolution of any blocking issues/bugs, and ensuring timely customer acceptance and production deployment
  • Coordinate and lead Program discussions and clearly and accurately communicate requirements, issue status to the customer and internal (including executive) teams
  • Work closely with engineering, operations, quality, product management, and sales teams to resolve technical and logistical issues, set accurate expectations and keep the scope of the projects on a track to successful execution
  • Define the strategy and tactics for efficiently implementing GPU-based product solutions, and integration of these solutions, from evaluation/proof-of-concept to design/development/qualification/validation, through customer acceptance for a wide variety of NVIDIA customers
  • Travel up to 10%

Skills

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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