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NVIDIA

Designs the chips and software that power AI

ASIC Design Engineer - GPU Core Pipeline IP

Silicon & ASIC DesignPosted on Nov 11
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • B.Tech. or M.Tech. with at least 3 years of relevant experience.
  • Familiarity with Verilog, C++, and object-oriented programming concepts.
  • Experience in RTL design and micro-architecture development at the unit or subsystem level.
  • Understanding of digital design fundamentals, including synchronous design, timing, and clock/reset methodologies.
  • Understanding of computer architecture concepts.
  • Knowledge of SystemVerilog and ASIC design methodologies is highly desirable.
  • Exposure to industry-standard design, simulation, and debug tools.

Responsibilities

  • Contribute to the design and implementation of graphics and compute features within an IP.
  • Develop the micro-architecture and RTL design of GPU ASICs, working with architecture, verification, and physical design teams to deliver high-quality designs.
  • Develop RTL using Verilog/SystemVerilog, collaborate on design specifications, and ensure designs meet performance, power, area, and timing goals.
  • Work with hardware architects and designers to make implementation choices.
  • Collaborate with verification engineers to validate implemented functionality and achieve comprehensive coverage.
  • Participate in silicon bring-up, post-silicon debugging, and performance analysis as needed.

Desired Qualifications

  • Prior experience in 3D graphics processing or processor design.
  • Experience in C/C++ programming.
  • Experience in scripting and tool development using Perl and Python.
  • Understanding of ASIC implementation flows, including synthesis, timing closure, design for test, and physical design considerations.

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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