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NVIDIA

Designs the chips and software that power AI

ASIC Design Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A BS or MS degree, or equivalent experience, in Electrical Engineering, Computer Engineering, or Computer Science.
  • At least 2 years of relevant RTL design work experience.
  • Strong microarchitecture and RTL development skills using Verilog, including front-end flows such as logic synthesis, power analysis, and timing analysis.
  • Exposure to digital systems and VLSI design, computer architecture, and computer arithmetic.
  • Strong coding skills in Perl, Python, or other industry-standard scripting languages.
  • Ability to work well in a team.

Responsibilities

  • Draft microarchitecture documents and implement high-performance, area- and power-efficient RTL to meet development targets and specifications.
  • Analyze architectural trade-offs based on features, performance requirements, and area and power constraints.
  • Craft microarchitecture, implement it in RTL, and deliver fully verified, synthesis- and timing-clean builds.
  • Collaborate with architects, other designers, and pre- and post-silicon verification teams to deliver RTL builds.
  • Work on IPs including the GPU time distribution system, engine scheduler, interrupt controllers, and copy engines.
  • Assist the silicon bring-up team with debugging and post-silicon validation activities.

Desired Qualifications

  • Strong C/C++ skills.
  • Experience with multi-clock domains, asynchronous logic, interface protocols, and arbitration schemes.
  • Debugging, problem-solving, and analytical abilities.

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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