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NVIDIA

Designs the chips and software that power AI

ASIC Chip Manager - ASIC Chip Engineering

Program ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A BSEE is required, or equivalent experience; an MSEE or MSCE is preferred.
  • At least 10 years of overall experience in chip development, including at least 5 years managing an SoC or key subsystem.
  • Experience with development cycles for graphics processing, memory, and I/O subsystems in SoC chips.
  • Deep knowledge of the chip lifecycle from concept to production, including markets, competition, and architecture; front-end flows such as microarchitecture, low-power design, RTL coding, verification, and emulation; back-end flows including physical design, clock and reset distribution, and design for test; and silicon bring-up, reliability, and qualifications.
  • Ability to manage simultaneous projects and resolve complex technical issues across a highly matrixed engineering team.
  • Ability to present complex effort progress across teams using key performance indicators and identify risks and mitigation strategies.
  • Ability to identify and implement data analytics and automation flows using programming languages to improve execution efficiency across organizations.
  • Strong algorithm development and programming skills are preferred.
  • Understanding of client and automotive markets is preferred.
  • Experience with safety standards such as ISO 26262 and delivering safety hardware and software is preferred.

Responsibilities

  • Drive SoC execution from concept to production.
  • Define and track project achievements and dependencies across multifunctional teams, and coordinate IP design, integration, design for test, physical design, VLSI, emulation, software, and operations teams to ensure successful productization with first silicon.
  • Identify and characterize key technical risks and work with engineering and management teams to identify mitigation strategies.
  • Provide technical leadership to the team.
  • Drive after-action reviews to identify and deploy solutions for continuous improvement of project workflows and execution.

Desired Qualifications

  • Strong algorithm development and programming skills.
  • Understanding of client and automotive markets.
  • Experience with safety standards such as ISO 26262 and delivering safety hardware and software.

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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