Director, AI Data Center Operations at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI, Data CentersIndustries

Requirements

  • BS or MS degree in Computer Engineering/Science or related field (or equivalent experience) with 15+ overall years of relevant work experience and 8+ years of management experience
  • 8+ years of expertise in managing extensive data center operations or critical infrastructure
  • Expertise in BMS & Power management
  • Experience building 24/7 teams from 0
  • Experience working with remote hands
  • Proven track record of managing infrastructure from deployment through long-term operations
  • Experience driving reliability with robust processes, rapid field response, and recovery

Responsibilities

  • Lead the commissioning, bring-up, and operational readiness of new data centers
  • Collaborate with software and hardware teams to define and implement repeatable procedures
  • Own the operations, maintenance, and reliability of the infrastructure of an AI datacenter
  • Develop and enforce operations strategy & processes, ensuring strict adherence to SLAs across critically important infrastructure
  • Define and implement procedures for minimal downtime and quality controls to strive to achieve continuous uptime
  • Feed requirements to software and hardware teams
  • Create documentation that the ecosystem can use to run their own AI Data Centers

Skills

Data Center Operations
BMS
Power Management
Infrastructure Reliability
SLA Management
Team Building
Remote Hands
Commissioning
Hardware Collaboration
Software Collaboration

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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