HPC and AI Data Center Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

High Performance Computing, Artificial Intelligence, Data CentersIndustries

Requirements

MCSE or MCITP/CCNA certification
3+ years of experience as lab manager
Experience in supporting large and complex data centers
Proven hands-on experience in Linux troubleshooting with good problem identification, resolution and solving skills
In depth knowledge in Linux & Windows Core Services: DHCP, DNS, NIS, AD, etc
Team Work, Service oriented, organized

Responsibilities

Plan and build complex cluster and supercomputers in various of data center and labs
Rack stack and cable management to ensure efficient use of space and easy maintenance
Ensure data centers and labs power and cooling efficiency while optimizing rack space utilization
Data centers and labs daily operation and support
Installations for variety of infrastructure and solutions - Cloud, VMs, Storage, Network, HPC and AI
Perform troubleshooting - network, optic cabling, bare metal, operating system
Support Research & Development activities

Skills

Key technologies and capabilities for this role

LinuxWindowsDHCPDNSNISADBashPythonAnsiblePuppetJenkinsSLURMKVMVMwareHyper-VCCNAHPC

Questions & Answers

Common questions about this position

What certifications are required for the HPC and AI Data Center Engineer role?

MCSE or MCITP/CCNA certification is required.

What experience is needed for this position?

Candidates need 3+ years of experience as a lab manager and in supporting large and complex data centers, plus proven hands-on experience in Linux troubleshooting.

What is the salary for this role?

This information is not specified in the job description.

Is this a remote position, or what is the location requirement?

This information is not specified in the job description.

What skills will help me stand out as a candidate?

Skills like scripting in Bash and/or Python, experience with configuration management tools (e.g., Ansible, Puppet), CI & job schedulers (e.g., Jenkins, SLURM), virtualization (KVM/VMware/Hyper-V), 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.

Land your dream remote job 3x faster with AI

Try Jobo Free