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NVIDIA

Designs the chips and software that power AI

Senior ASIC Design Engineer

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

About the Job

Requirements

  • A Master's degree or equivalent experience in Electrical Engineering or Computer Engineering.
  • At least 8 years of proven experience working on ASIC design and development.
  • Experience in micro-architecture and RTL development of complex designs in Verilog.
  • Exposure to digital systems and VLSI design, computer architecture, computer arithmetic, CMOS transistors, and circuits is required.
  • Understanding of ASIC design flow, including RTL design, verification, logic synthesis, prototyping, DFT, timing analysis, floor-planning, ECO, bring-up, and lab debugging.

Responsibilities

  • Implement GPU subsystem modules as a member of the Design team.
  • Make architectural trade-offs based on features, performance requirements, and system limitations.
  • Own micro-architecture, implement RTL, and deliver a fully verified, synthesis- and timing-clean design.
  • Support post-silicon validation activities.
  • Work with architects, other designers, pre- and post-silicon verification teams, synthesis, timing, and back-end teams to accomplish assigned tasks.

Desired Qualifications

  • Prior experience with arbiters, scheduling, synchronization, bus protocols, interconnect networks, and/or caches.
  • Knowledge of PCI-Express (Gen 3 and above) or CXL protocol; firsthand design experience with either is a plus.
  • Experience with Python, Perl, and C/C++ programming languages.
  • Good debugging and analytical skills.
  • Strong interpersonal skills and the ability and desire to work effectively as a teammate.

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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