Lab Engineer, Networking Solutions Labs at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, NetworkingIndustries

Requirements

Practical Engineer degree in exact sciences
Minimum of 2 years’ experience in roles such as Support Engineer, System Administrator, or Data Center Operations Engineer
Solid hands-on expertise with server hardware and IT infrastructure
Practical experience managing Linux environments, virtualization platforms, and container technologies
Highly organized, self-driven, and detail-focused, with strong documentation and task management skills
Capable of prioritizing effectively in a fast-moving, dynamic setting
Strong command of English, both written and verbal

Responsibilities

Assume full responsibility over the Solutions Labs equipment
Maintain and manage physical and virtual servers, switches, and lab infrastructure
Provide hands-on support for lab equipment across multiple locations
Rack, stack, install, and configure new hardware/software according to project needs
Collaborate with Engineering, IT, Facilities, and Operations teams to resolve technical issues
Implement cutting-edge, end-to-end data center solutions
Deploy and validate reference deployment documents and how-to tutorials
Gather hardware requirements from internal stakeholders and assist in budgeting and procurement

Skills

Key technologies and capabilities for this role

LinuxVirtualizationContainerizationServer HardwareNetworkingSwitchesStorage SystemsData Center Infrastructure

Questions & Answers

Common questions about this position

What experience is required for the Lab Engineer position?

A Practical Engineer degree in exact sciences and minimum of 2 years’ experience in roles such as Support Engineer, System Administrator, or Data Center Operations Engineer are required. Solid hands-on expertise with server hardware and IT infrastructure, practical experience managing Linux environments, virtualization platforms, and container technologies are also needed.

What are the preferred skills to stand out for this role?

To stand out, have a Bachelor's degree in exact sciences, experience with distributed systems and modern data center technologies, understanding of datacenter power and cooling infrastructure, networking, and cabling, vast experience with Linux, Kubernetes, containers, and QEMU/KVM virtualization, and understanding of Networking layers and services.

Is this a remote position or does it require on-site work?

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 kind of team and work environment can I expect at NVIDIA Networking Solutions Labs?

You'll join a dynamic team in a global environment, working collaboratively with Engineering, IT, Facilities, and Operations teams in a fast-moving, dynamic setting. The company values diversity, is an equal opportunity employer, and provides reasonable accommodations for disabilities.

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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