Physical Design Intern, VLSI - 2027

NVIDIA • Artificial Intelligence • Information Technology • Master's Degree • Python • 1 day ago
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≈ $14k – $22k per year (Estimated)
Location
In office (Beijing, Shanghai)
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Intern
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NVIDIA

NVIDIA is an American technology company founded in 1993 that invented the graphics processing unit and has become the dominant supplier of accelerated computing platforms for artificial intelligence. Its portfolio spans data centre GPUs and systems built on the Hopper and Blackwell architectures, GeForce consumer graphics, automotive and robotics platforms, high-speed networking acquired with Mellanox, and the CUDA software stack that binds the ecosystem together. Headquartered in Santa Clara, California, the company sells to cloud providers, enterprises, research institutions and gamers worldwide and is one of the most valuable listed businesses on the Nasdaq.
nvidia.com • HQ: Santa Clara, United States • Autonomous Driving • Information Technology • Artificial Intelligence • Computer Components • AI Infrastructure • AI Chips & Accelerators • Semiconductors • 5000+ employees • Est. 1993

We are now looking for VLSI Physical Design Interns!

VLSI Physical Design Team at NVIDIA China has been built up since 2005. The team has made contribution to various successful products launched by NVIDIA Corporation over 30 years. We utilize latest process technology, advanced EDA tools, and sophisticated design methodology. We always work on the most challenging designs, and push for performance limit.

What you will be doing:

  • Work on flow enhancement of in-house flow on floorplan, power/clock distribution, placement, routing, timing/power/noise analysis, chip assembly, and physical verification

  • Work on in-house tool development and exploration

  • Look for AI solution to improve workflow efficiency and automation

What we need to see:

  • Pursuing MS (or higher) in EE, CS and Mathematics/Physics

  • Knowledge of whole flow of IC design, especially synthesis/timing/floorplan/congestion/drc analysis

  • Fundamentals of algorithm and programming skills

  • Fast capability of learning and strong debugging skills shown up in past hands-on project

Ways to stand out from the crowd:

  • Hands-on background in IC design or physical design

  • Hands-on experience in popular programming language (Python/tcl etc.)

  • DL/ML project experience

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