INTERNSHIP DETAILS

Physical Design Intern, VLSI - 2027

CompanyNVIDIA
LocationBeijing
Work ModeOn Site
PostedSeptember 9, 2026
Internship Information
Core Responsibilities
The intern will work on flow enhancement for physical design tasks including floorplanning, routing, and timing analysis. They will also contribute to in-house tool development and explore AI solutions to improve workflow efficiency.
Internship Type
full time
Company Size
51899
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
About the Role

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

Key Skills
VLSIPhysical DesignFloorplanSynthesisTiming AnalysisPower AnalysisNoise AnalysisChip AssemblyPhysical VerificationPythonTclDeep LearningMachine LearningAlgorithm DevelopmentDebugging
Categories
TechnologyEngineeringSoftwareData & Analytics