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NVIDIA

Designs the chips and software that power AI

Physical Layer Architecture Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science degree in Electrical Engineering.
  • At least 3 years of experience in physical layer communication, systems, signal integrity, or high-speed communication protocols.
  • Background in embedded software.
  • Experience in networking.
  • Experience with wireline physical layer protocols such as IEEE 802.3, InfiniBand, PCIe, or USB.
  • Strong problem-solving, teamwork, interpersonal, and communication skills; analytical ability; and a hands-on technical approach.

Responsibilities

  • Lead projects across the team, processing customer requirements and definitions and translating them into detailed technical specifications for hardware architecture, system embedded software, user interface, and high-level design.
  • Supervise project implementation by team leaders, developers, and QA; participate in low-level design reviews and QA test plan reviews; track changes and handle obstacles.
  • Define the architecture for implementing physical layer standards in NVIDIA ASIC devices.
  • Participate in standards-body activities and define next-generation protocols.
  • Define physical-layer features to enable interoperability between different generations of communication.
  • Contribute to product definition and determine the high-speed protocols supported by NVIDIA networking devices.
  • Work closely with design, backend, system, marketing, firmware, and driver teams, providing architecture definitions and helping reach key design decisions.
  • Serve as the focal point for NVIDIA physical-layer networking communication devices.

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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