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NVIDIA

Designs the chips and software that power AI

Physical Design Power Integrity Engineer

Board & Electronics DesignConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A B.Sc. or higher in Electrical Engineering or a related field, with a solid educational foundation in electrical engineering principles, particularly power integrity and physical design.
  • At least 3 years of experience in power integrity engineering, including power integrity analysis, mitigation, and optimization, especially for high-performance computing or networking hardware.
  • Hands-on experience with industry-standard power-integrity tools such as Cadence, Ansys, or other electromagnetic simulation tools, including power delivery network analysis and design.
  • Ability to collaborate across teams and work closely with hardware and design teams to implement power delivery strategies.
  • Ability to adapt and solve problems in a dynamic, fast-paced environment.

Responsibilities

  • Ensure robust power integrity in physical design to optimize power delivery.
  • Design and optimize physical-design solutions for power integrity.
  • Perform power-integrity analysis and mitigation.
  • Serve as the focal point for power integrity for partition owners.
  • Collaborate with hardware and design teams on power-delivery strategies.
  • Use tools and flows in advanced technology to meet project development needs.

Desired Qualifications

  • An advanced degree (M.Sc./Ph.D.) in Electrical Engineering, specializing in power integrity, signal integrity, or a related field, with a focus on cutting-edge research or projects.
  • Proficiency in Python, Tcl, or other relevant programming languages for automating analysis or enhancing tool capabilities.

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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