Full-Time

Senior Technical Program Manager

Infrastructure Capacity Management

Posted on 1/7/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Compensation Overview

$192k - $304.8kAnnually

+ Equity

Senior, Expert

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

The job is based in Santa Clara, CA.

Category
Project Management
Engineering Management
Business & Strategy
Required Skills
Data Analysis
Requirements
  • B.S. (or equivalent experience) in Computer Science or a related technical field
  • 10+ years of experience across software engineering and/or technical program management roles with demonstrated expertise and mastery of technical and management practices
  • Prior experience developing process and tools to forecast, allocate and manage infrastructure resources across a diverse and large portfolio ($billions)
  • Prior experience leading programs that span across multiple teams and engineers (100+)
  • Experience managing large scale HPC and/or AI Infrastructure deployments that stretch across hardware and software
  • Exceptional communication and presentation skills for diverse technical and non-technical audiences
  • Strong multitasking abilities with a focus on thoroughness and rapid context switching
  • Knowledge of agile methodologies and the best in class project management tools
  • Proactive and enthusiastic in identifying and implementing positive changes in software engineering and release management within a fast-paced environment
Responsibilities
  • Work across multiple internal customer teams to build robust demand models that accurately provide a comprehensive picture of capacity requirements across compute, storage and network
  • Assist and play a key role in shaping the technical strategy and execution for how our internal serving platform meets internal customer needs
  • Nurture a culture of continuous improvement, finding new opportunities across tooling, automation and processes to scale overall capacity management
  • Take lead in defining strategies that will help increase the efficiency and utilization of resources across internal clusters to minimize capacity waste
  • Guide a diverse set of engineering efforts in an agile program methodology across planning, prioritization, design, dependency management, implementation and execution
  • Bring a data-first approach to programs (metrics, OKRs, KPIs) to measure program success and for identifying areas of improvement
  • Create effective communication channels to provide varying audience levels insights into program status, risks and opportunities
  • Act as an effective technical and non-technical liaison between developers, customers and partners to drive organization alignment across a multi-functional matrixed set of leads
Desired Qualifications
  • Prior experience bringing up new datacenter capacity across cloud service providers and on-premise locations
  • Prior background in working with AI researchers and/or EDA developers
  • Software development, release and support methodology and devops

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 highly 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.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of Augtera Networks boosts NVIDIA's networking capabilities and Spectrum-X portfolio.
  • Growing demand for NVIDIA GPUs in AI acceleration suggests potential market growth.
  • NVIDIA's support for AI-driven robotics solutions opens new market opportunities.

What critics are saying

  • Increased competition from Lambda's AI Cloud Platform challenges NVIDIA's market position.
  • Edge AI technologies may reduce demand for NVIDIA's cloud-based AI solutions.
  • Regulatory challenges in robot delivery services could impact NVIDIA's investment returns.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in diverse markets: gaming, data centers, and autonomous vehicles.
  • NVIDIA's Omniverse platform enhances industrial AI applications and digital twin technology.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
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