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NVIDIA

Designs the chips and software that power AI

High-Speed Interconnect Architect

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeSanta Clara, CA, USA

About the Job

Requirements

  • A B.S. in Electrical Engineering or Mechanical Engineering, or a related field, or equivalent experience.
  • At least 2 years of experience in hardware engineering, with exposure to connectors, cables, or high-speed signal design.
  • A basic understanding of signal integrity or mechanical design principles.
  • Ability to collaborate with cross-functional teams and communicate technical ideas clearly.

Responsibilities

  • Support development and documentation of product requirements for high-speed cables and connectors.
  • Collaborate with senior engineers and cross-functional teams to understand customer needs and translate them into design inputs.
  • Assist in mechanical and signal integrity analysis and learn to navigate tradeoffs between them.
  • Participate in root cause analysis for mating and mechanical issues, and help refine designs for manufacturability and reliability.
  • Support prototyping efforts and track progress through development cycles.
  • Work with vendors and internal research and development teams under senior architects' guidance.
  • Travel occasionally to vendors, manufacturers, or customer sites (~10%).

Desired Qualifications

  • Coursework or hands-on experience with high-speed printed circuit board design, signal integrity, or connector mechanics.
  • Familiarity with engineering tools such as finite element analysis, thermal modeling, or lab measurement equipment.
  • Side projects, internships, or research involving hardware prototyping or manufacturing.

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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