Manager, Data Center at NVIDIA

Tel Aviv-Yafo, TA, Israel

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, High Performance Computing, Artificial IntelligenceIndustries

Requirements

  • MCSE or MCITP / CCNA certification
  • 3+ years of experience as a team lead in large and complex data center environments, overall experience of 8+ years
  • Demonstrated practical experience in operating systems with strong problem identification and resolution skills
  • In-depth knowledge of Linux & Windows Core Services: DHCP, DNS, NIS, AD, etc
  • Strong leadership skills with ability to organize, prioritize, and guide a team
  • Passionate about delivering excellent service with strong collaboration and interpersonal skills
  • Ways to stand out (Preferred)
  • Hands-on with Python and configuration management tools (e.g., Ansible, Puppet)
  • Experience with CI tools and job schedulers (e.g., Jenkins, SLURM)
  • Knowledge of virtualization technologies: KVM, VMware, Hyper-V
  • Experience with storage solutions like Netapp, Lustre, GPFS, ZFS
  • Skilled in L2 & L3 network protocols and resolving technical issues

Responsibilities

  • Lead and coordinate the planning and build of complex clusters and supercomputers across multiple data centers and labs
  • Manage rack-and-stack, cabling, and space optimization efforts to ensure efficiency, maintainability, and standard processes
  • Lead all aspects of power and cooling efficiency strategies while ensuring optimal rack space utilization
  • Coordinate daily functions and maintenance of data facilities and test environments, ensuring seamless operations and timely problem resolution
  • Installation and integration of diverse infrastructure and solutions including Cloud, VMs, Storage, Network, HPC, and AI
  • Manage debugging activities — network, optical cabling, bare metal, and operating systems
  • Collaborate closely with Research & Development teams to support evolving project needs and experimental setups
  • Mentor and develop team members, ensuring knowledge sharing, standard methodologies, and professional growth

Skills

Key technologies and capabilities for this role

LinuxWindowsDHCPDNSNISActive DirectoryCCNANetworkingHPCAICloudVMsStorageRack and StackCablingBare MetalOptical Cabling

Questions & Answers

Common questions about this position

What certifications are required for the Manager, Data Center role?

MCSE or MCITP / CCNA certification is required.

What experience level is needed for this position?

Candidates need 3+ years as a team lead in large and complex data center environments, with overall experience of 8+ years.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What skills will help me stand out as a candidate?

Hands-on experience with Python and configuration management tools like Ansible or Puppet, CI tools like Jenkins or SLURM, virtualization technologies such as KVM or VMware, storage solutions like Netapp or Lustre, and L2 & L3 network protocols will make you stand out.

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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