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NVIDIA

Designs the chips and software that power AI

ASIC Design Engineer New Grad

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

About the Job

Requirements

  • A bachelor's degree or equivalent experience in Electrical Engineering, Computer Engineering, or Computer Science.
  • Experience in micro-architecture and RTL development using Verilog.
  • A good understanding of the ASIC design flow, including RTL design, verification, logic synthesis, and timing analysis.
  • Exposure to digital systems, VLSI design, computer architecture, and computer arithmetic.
  • Strong interpersonal skills and the ability to work effectively as a teammate.

Responsibilities

  • Implement, document, and deliver high-performance, area- and power-efficient RTL that meets design targets and specifications.
  • Analyze architectural trade-offs based on features, performance requirements, and system limitations.
  • Develop micro-architecture, implement it in RTL, and deliver a fully verified design that is clean for synthesis and timing.
  • Collaborate and coordinate with architects, other designers, pre- and post-silicon verification teams, synthesis teams, timing teams, and back-end teams.
  • Work on IP including GPU work schedulers, time distribution systems, interrupt controllers, and DMA engines.
  • Architect features that support silicon debug and post-silicon validation activities.

Desired Qualifications

  • Strong skills in C, C++, Python, or Perl.
  • Debugging and analytical skills.
  • Experience with arbiters, scheduling, synchronization, bus protocols, interconnect networks, and caches.

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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