Senior Network Engineer - DGX Cloud at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud ComputingIndustries

Requirements

Expert knowledge in large scale IP Networking Technologies and protocols such as: MP-BGP, OSPF, ISIS, VRF, VxLAN, EVPN, QoS, GRE, IPSEC, DNS, MACsec
Hands-on experience around Peering and Datacenter interconnect technologies: PNI, Transit, Exchange, Passive DWDM, Wave circuits
Ability to write and understand Python/Shell scripts and programs for automation, tools, frameworks, dashboards, alarms
Understanding of network virtualization such as: VRFs, VXLAN. Familiarity with Arista, Cumulus OS, Fortinet OS etc
Expert in the field of network, especially in underlay network
Strong track record of implementing network services in a variety of distributed computing environments
Architected, built, and deployed a network for a large scale (1000s of machines) in the past, used by 1000s of people. Familiar with designing and building POPs and large scale WANs
Hands-on experience with high performance network and network optimization in highly-available, large-scale, multisite, international environments
Great communication and presentation skills
8+ years of experience in network, especially experience in Arista switches
BS Degree or the equivalent experience

Responsibilities

Lead the overall architecture and design of our cloud network infrastructure including intra-DC, inter-DC, Corp IT, and Internet connectivity
Implement, manage and troubleshoot entire network stacks
Automate network infrastructure end-to-end including provisioning, management and monitoring

Skills

Key technologies and capabilities for this role

MP-BGPOSPFISISVRFVXLANEVPNQoSGREIPSECDNSMACsecPythonShellAristaCumulus OSFortinet OSPNITransitDWDM

Questions & Answers

Common questions about this position

What experience level is required for this Senior Network Engineer role?

The role requires 8+ years of experience in network engineering, especially with Arista switches, along with a BS Degree or equivalent experience.

What key technical skills are needed for this position?

Expert knowledge in large scale IP Networking Technologies such as MP-BGP, OSPF, ISIS, VRF, VxLAN, EVPN, QoS, GRE, IPSEC, DNS, MACsec is required, plus hands-on experience with Peering, Datacenter interconnects, Python/Shell scripting for automation, and network virtualization.

Is this a remote position or does it require office 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 makes a candidate stand out for this Senior Network Engineer position?

Candidates stand out with hands-on background in building tooling and automation for network provisioning, monitoring, and management, experience designing and implementing networks at scale like automated deployments (e.g., ZTP), and passion for innovating in groundbreaking technologies.

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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