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NVIDIA

Designs the chips and software that power AI

Notebook Hardware Application Engineer

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A BS or higher in Electrical Engineering, Computer Engineering, or Systems Engineering, or equivalent experience.
  • Five years of experience with notebook hardware and circuit design.
  • Professional-level interpersonal skills, including the ability to adjust communication to the technical level of the audience, and the ability to drive technical issues across multiple teams.
  • Analytical thinking and problem-solving abilities.
  • Extensive knowledge of notebook hardware, power, thermal, and electrical systems.
  • Ability to perform signal measurement and operate oscilloscopes.
  • Good knowledge of x86 system architecture.
  • Strong communication skills.

Responsibilities

  • Work with multifunctional teams on notebook feature development and build design guides, application notes, and other supporting technical collateral for notebooks.
  • Provide technical support during notebook development, testing, and production.
  • Perform hardware design reviews, including schematics, printed circuit boards, and power delivery networks, to ensure customer designs meet NVIDIA guidelines.
  • Install, configure, debug, and bring up customer notebook hardware.
  • Work directly with NVIDIA customers, analyze data to answer questions, reproduce errors, resolve issues, or escalate customer issues.
  • Supervise, file new bugs, and reproduce issues as needed.

Desired Qualifications

  • Familiarity with Linux.
  • Experience with ARM.
  • Hardware design experience and knowledge of PCIe, I2C, DisplayPort/eDP/HDMI, USB-C, I2S, and SATA.
  • Extensive knowledge of notebook hardware, circuit design, power, thermal, and electrical systems.

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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