Senior Network Operations Engineer - DGX Cloud at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, Cloud ComputingIndustries

Requirements

Deep knowledge and experience of TCP/IP, BGP, OSPF, MPLS, IS-IS, VxLAN, EVPN, QoS, GRE, IPsec, DNS, and MACsec
5+ years of experience in network operations
Skilled in network troubleshooting techniques and demonstrating creative problem-solving abilities
Strong track record of alert response within defined SLAs and Incident management
Experience with one or more of the following CSP environments: AWS, Azure, GCP, OCI
Familiarity with Arista, Fortinet and Juniper
Hands-on experience with contributing to tooling and automation for provisioning, monitoring, and managing complex network infrastructures
Bachelor’s degree in Computer Science, related technical field, or equivalent experience
Excellent verbal and written communication skills

Responsibilities

Engage in 24/7 global shift rotations to provide remote support for network repairs and changes while collaborating across teams and updating customers on status and ticket information
Drive operational improvements in change management and daily operations by following procedures
Manage and operate large scale IP network technologies and infrastructures
Utilize skills in Peering and Datacenter interconnect technologies: PNI, Transit, Exchange, Passive DWDM, Wave circuits
Monitor and support the network health of on-premises and cloud infrastructures
Collaborate and develop workflow enhancements while documenting best practices
Remediate critical alerts within defined SLAs
Triage production impacting network incidents
Interact with internal customers on network related issues
Engage with external vendors to remediate hardware and software issues
Participate in project related work such as network device upgrades and capacity augmentations

Skills

Key technologies and capabilities for this role

TCP/IPBGPOSPFMPLSIS-ISVXLANEVPNQoSGREIPsecDNSMACsecPNITransitDWDM

Questions & Answers

Common questions about this position

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

The role requires 5+ years of experience in network operations.

What key technical skills are needed for this position?

Candidates need deep knowledge of TCP/IP, BGP, OSPF, MPLS, IS-IS, VxLAN, EVPN, QoS, GRE, IPsec, DNS, and MACsec, along with skills in network troubleshooting, alert response within SLAs, and experience with CSP environments like AWS, Azure, GCP, or OCI.

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

The role involves 24/7 global shift rotations to provide remote support for network repairs and changes.

What is the salary or compensation for this position?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Stand out with solid understanding of Mellanox/Cumulus OS and Infiniband technology, Unix/Linux system administration with Python/Shell scripting, familiarity with tools like Netbox/Nautobot, Prometheus, Grafana, Panoptes, 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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