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NVIDIA

Designs the chips and software that power AI

Principal ASIC Chip Design Engineer

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

About the Job

Requirements

  • A Bachelor of Science degree in Electrical Engineering is required.
  • At least 15 years of hands-on pre-silicon design experience is required.
  • A proven track record of technical leadership and driving cross-team initiatives to completion is required.
  • Strong interpersonal skills, a passion for innovation, and the ability to mentor and influence senior engineers are required.

Responsibilities

  • Define the technical vision and drive methodologies, micro-architecture, and innovations to improve the chip design development experience.
  • Lead the evaluation, development, and assimilation of artificial intelligence-based tools and flows, and champion their adoption across design teams.
  • Collaborate with and influence chip design stakeholders and peers across teams to understand existing problems and architect solutions and methodologies.
  • Serve as a technical interface with EDA vendors to evaluate tools and technology and lead their integration into the development process.
  • Mentor engineers, develop training sessions, and guide designers on design best practices.
  • Architect and develop shared design code and solutions for adoption by chip design teams.
  • Drive cross-functional, organization-wide initiatives and align technical roadmaps across multiple teams.

Desired Qualifications

  • Experience with artificial intelligence-based development.
  • Broad system-level understanding of chip design development and flows.
  • Ability to influence technical direction across an organization.
  • Passion for innovation, quality, efficiency, and flow automation.
  • Experience with clock-domain crossing (CDC) and power-saving techniques such as clock gating and power gating.

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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