Senior Data Center Ethernet Network Engineer at NVIDIA

Beijing, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data Centers, HPC, AI, Cloud ComputingIndustries

Requirements

Bachelor’s degree in engineering, Computer Science, Mathematics or Physics or equivalent experience
6+ years of proficiency in networking fundamentals, Switching, Routing, TCP/IP, and data center architecture
Strong Routing hands-on experience including BGP, VxLAN and EVPN (5+ years)
Engages with clients for network requirement analysis, designs next-gen data center network architectures, and validates functionality through simulations (5+ years)
Plays a pivotal role in automation, delivering fully automated network provisioning solutions using Ansible, Salt, and Python (5+ years)
Provides ad-hoc knowledge transfers, develops handover materials, and offers deployment support for engagements (5+ years)
Background in datacenter engineering, networking architecture, or cloud applications is advantageous
Understanding of system-level issues, Linux OS, kernel drivers, PCIe devices, and computer hardware architecture
Values familiarity with NetDevOps workflows, automation, infrastructure-as-code, digital simulation, continuous integration/deployment, and automated validation
Proactive individual with the ability to work independently, prioritizing tasks to optimize technology and enhance customer experience
Strong interpersonal skills for technical presentations, architectural designs, and acting as a trusted advisor to customers (extensive experience in consulting or/and support)
Ability to travel domestic and international up to 20% of the time

Responsibilities

Providing Ethernet and routing expertise to customers during project delivery to design, architect and test Ethernet networking solutions
Work on multi-functional teams to provide Ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications
Crafting and evaluating DevOps automation scripts for network operations, crafting network architectures, and developing switch fabric configurations
Implementing tasks related to network configuration and validation for data centers
Create Methods of Procedure and deployment documents
Use software tools to validate and monitor network performance
Spearheading the conception, development, and execution of ground-breaking data center networks for NVIDIA customers under the Plan, Design, & Implement (PDI) framework
Advancing comprehensive technology solutions for strategic clientele in web2.0, cloud, HPC AI, and enterprise datacenter domains
Identifying areas for improvement in business technology, providing valuable insights, and furnishing recommendations to both marketing and engineering teams to improve overall product strategy

Skills

Key technologies and capabilities for this role

EthernetRoutingSwitchingTCP/IPData Center ArchitectureDevOpsAutomation ScriptsNetwork ConfigurationNetwork ValidationBGPOSPF

Questions & Answers

Common questions about this position

What experience level is required for this role?

The position requires 6+ years of proficiency in networking fundamentals, Switching, Routing, TCP/IP, and data center architecture, along with 5+ years in specific areas like BGP, VxLAN, EVPN, network design, and automation.

What key skills are needed for the Senior Data Center Ethernet Network Engineer position?

Candidates need strong hands-on experience with Routing including BGP, VxLAN and EVPN (5+ years), proficiency in automation tools like Ansible, Salt, and Python (5+ years), and experience designing next-gen data center network architectures and validating through simulations (5+ years).

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What education is required for this role?

A Bachelor’s degree in engineering, Computer Science, Mathematics or Physics or equivalent experience is required.

What kind of team will I be working on?

You will work on multi-functional teams within the NVIDIA Infrastructure Specialists Solution Architecture team, providing Ethernet network expertise to server infrastructure builds, accelerated computing workloads, and GPU enabled AI applications.

What makes a strong candidate for this position?

A proactive individual with the ability to work independently, prioritizing tasks to optimize technology and enhance customer experience, along with a background in datacenter engineering, networking architecture, or cloud applications, and familiarity with NetDevOps workflows and automation tools.

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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