Physical Design Engineer

Posted Yesterday
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2 Locations
In-Office
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Perform full-chip physical design for NVIDIA GPU and mobile chips: floorplanning, power/clock distribution, placement & routing, timing optimization and closure, RC extraction, power/signal integrity analysis, and physical verification. Troubleshoot complex design/flow issues and collaborate with RTL, DFT, and circuit teams to ensure high-quality implementation.
Summary Generated by Built In

We are now looking for a Physical Design Engineer. VLSI Physical Design Team at NVIDIA Shanghai has been built up since 2005. The team has made contribution to various successful products launched by NVIDIA Corporation over 15 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’ll be doing:

  • A role in physical design for NVIDIA GPU and Mobile chips.

  • Participate in various aspects of physical design, including full chip floorplanning, power/clock distribution, timing optimization, place & route, timing closure, power/signal integrity analysis, and physical verification.

  • Troubleshoot a wide variety of design and flow complicated issues, and apply proactive intervention Collaborate with RTL, DFT and Circuit designers to ensure high quality of design implementation.

What we need to see: 

  • BS in Engineering or Science or equivalent experience.

  • Power user of EDA tools from Synopsys (ICC2/FC/PT/STAR-RC), Cadence (EDI/Innovus/Voltus).

  • Experience in Clock/Power Distribution, P&R, Timing closure, RC Extraction, and verification on advanced technology nodes.

  • 2+ years of experience in above areas.

Ways to stand out from the crowd:

  • MS in Engineering or Science.

  • Knowledge in FinFET technology, circuit design, and package design.

  • Experience in physical verification tools from Synopsys (ICV) or Mentor (Calibre).

  • Proficiency in Perl, Python, TCL and Makefile scripts.

Skills Required

  • BS in Engineering or Science or equivalent experience.
  • Power user of Synopsys (ICC2/FC/PT/STAR-RC) and Cadence (EDI/Innovus/Voltus) EDA tools.
  • Experience in clock/power distribution, P&R, timing closure, RC extraction, and verification on advanced technology nodes.
  • 2+ years of experience in physical design areas described.
  • MS in Engineering or Science.
  • Knowledge of FinFET technology, circuit design, and package design.
  • Experience with physical verification tools (Synopsys ICV or Mentor Calibre).
  • Proficiency in Perl, Python, TCL, and Makefile scripting.

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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