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NVIDIA

Designs the chips and software that power AI

Senior Telecommunications Engineer - Data Center

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Relevant certifications such as Registered Communications Distribution Designer (RCDD) or Data Center Design Consultant (DCDC), or equivalent experience.
  • At least 8 years of proven experience in a data center design and engineering role.
  • Demonstrated experience with architectural drawings and generating scopes of work for low-voltage contractors.
  • Deep understanding of fiber systems, connectors, and transceivers.
  • Familiarity with the OSI-ISO model, switching and routing protocols, IPv4 and IPv6 addressing, and common TCP/IP protocols.

Responsibilities

  • Partner with product engineers to understand the complex connectivity requirements of future data centers.
  • Design and supervise deployment of fiber and copper cabling systems supporting multi-network clusters.
  • Influence data center layouts and planning to provide maximum flexibility in development-focused lab buildings.
  • Understand and support networks controlling, monitoring, and alerting within enterprise data center environments, including mechanical, electrical, liquid cooling, and security components.
  • Implement new fiber solutions and improve the efficiency of current infrastructure.
  • Define and document repeatable standards for data center and lab spaces at various scales.
  • Conduct regular assessments and audits to identify areas for improvement and optimize performance.

Desired Qualifications

  • Experience with next-generation data center architectures and technologies.
  • First-hand data center operations experience.
  • Active involvement in industry-specific communities or networks.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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