Senior Data Center Ethernet Network Engineer

Germany

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Enterprise Data Center, InfrastructureIndustries

Requirements

Candidates must have 8+ years of experience in networking fundamentals, Ethernet switch configuration, TCP/IP stack understanding, and data center architecture. A Bachelor's degree in Engineering or a CCNP certificate (or equivalent experience) is required. Proven experience with configuring and troubleshooting VXLAN-EVPN and a background in automation tooling such as Ansible, Salt, or Puppet are essential. Preferred qualifications include Linux certifications, CCIE/JNCIE/ACE-E certification in Data Centers, experience with Cumulus OS, and Infiniband certifications.

Responsibilities

The Senior Data Center Ethernet Network Engineer will provide Ethernet expertise to customers during the sales cycle to design, architect, and test Ethernet networking solutions. This role involves collaborating with multi-functional teams on server infrastructure builds, accelerated computing workloads, and GPU-enabled AI applications. Responsibilities include crafting and evaluating DevOps automation scripts for network operations, designing network architectures, developing switch configurations, and implementing network tasks for data center validation. The engineer will also engage with clients for network requirement analysis, design next-generation data center network architectures, validate functionality through simulations, and provide ad-hoc knowledge transfers, handover materials, and deployment support.

Skills

Ethernet

TCP/IP

Data Center Architecture

VXLAN-EVPN

DevOps Automation

Ansible

Salt

Puppet

Network Design

Network Architecture

Switch Configuration

Network Implementation

Network Validation

Accelerated Computing

GPU-enabled AI Applications

CCNP

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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