Full-Time

Senior Technical Program Manager

Infrastructure Capacity Management

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

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

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which enable scalable applications in AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that cater to a wide range of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match