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NVIDIA

Designs the chips and software that power AI

ASIC Design Engineer - Hardware

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeAustin, TX, USAIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent experience in Electrical Engineering, Computer Engineering, or a related degree is required.
  • At least 2 years of relevant industry experience and strong coding skills in Perl, Python, or another industry-standard scripting language are required.
  • Experience in RTL design using Verilog, verification using SystemVerilog, System-on-Chip design and implementation flow, and design automation is required.
  • A good understanding of System-on-Chip architecture, including cross-clock domains, multiple-power domains, performance analysis, latency, and data flow, is required.
  • Experience with design and verification tools such as dc_shell or equivalent synthesis tools, VCS or equivalent simulation tools, and debug tools such as Debussy and GDB is required.

Responsibilities

  • Define, develop, and deliver system-level methodologies and RTL to measure performance on GPUs and Systems-on-Chip.
  • Define, develop, and automate flows and methodologies to efficiently build, deliver, and support system-level intellectual property.
  • Deliver intellectual property and support projects by applying the performance monitoring system.
  • Run and debug RTL checks to ensure design quality, including cross-clock domains, clocks, reset, and latency checks.
  • Design and implement RTL features, including microarchitecture and RTL.
  • Work with architects, designers, and software engineers to accomplish assigned tasks.

Desired Qualifications

  • Hands-on experience in object-oriented programming.
  • Prior system-level intellectual property design experience in clocks, design for test, or resets.
  • Experience developing methodologies used by others.
  • Hands-on silicon debugging experience.
  • Exposure to physical design.
  • Advanced degrees, including a master's or PhD, are a plus.

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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