Data Center Infrastructure Specialist at NVIDIA

Taipei, Taiwan

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Data CentersIndustries

Requirements

  • 5+ years of proven experience as a data center infrastructure engineer, field service engineer or similar with background in designing and implementing data center infrastructures
  • Bachelor's degree or equivalent experience in a relevant field
  • In-depth knowledge of data center environments, servers, and network equipment
  • Extensive experience in installing, monitoring, and maintaining data center equipment
  • Solid understanding of networking, storage, and virtualization technologies
  • Excellent problem-solving skills and attention to detail
  • Ability to work as part of a team, in a fast and highly dynamic environment
  • Exceptional communication and interpersonal skills
  • Proficiency in documenting processes
  • Willingness to travel (25%)

Responsibilities

  • Design and implement flawless data center infrastructure solutions to meet the needs of our customers
  • Collaborate with cross-functional teams to ensure the successful deployment of data center infrastructure
  • Datacenter Planning: Floor Plan, Rack Elevation, Simulation
  • Cable deployment planning including - ensuring requirements are accurate such as number and type of connections, port assignments, and timing of activity while following standard methodologies, Point-to-Point Design
  • Deploy and Support NVIDIA products
  • Validating and updating all related work instructions for Datacenter activities
  • Responsible for providing input for Data Center Standards updates as required; balancing multiple activities and priorities; participate in projects calls
  • Documenting processes and keeping event logs

Skills

Data Center Infrastructure
Rack Elevation
Floor Planning
Simulation
Cable Deployment
Point-to-Point Design
Cluster Deployment
NVIDIA Products
Servers
Network Equipment
Installation

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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