VLSI Physical Design CAD Intern - Summer 2027

NVIDIA
Taiwan
Workplace: OnsiteInternshipFunction: Design (Product/UX/UI/Visual)Education: phdSkills: ["Analytical ability","Creativity","Autonomy"]

Develop and improve NVIDIA’s VLSI physical design flow by creating in-house tools, automating key steps, and driving quality control and performance improvements. Collaborate with EDA vendors to evaluate and enhance tools, while applying analytical skills across placement, routing, timing, power/noise, and DFM. Work with VLSI CAD algorithms and data structures and leverage EDA experience using tools such as Synopsys, Cadence, and ANSYS.

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FursaFursa
NVIDIA
NVIDIA
6 days ago

VLSI Physical Design CAD Intern - Summer 2027

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Job Summary

Develop and improve NVIDIA’s VLSI physical design flow by creating in-house tools, automating key steps, and driving quality control and performance improvements. Collaborate with EDA vendors to evaluate and enhance tools, while applying analytical skills across placement, routing, timing, power/noise, and DFM. Work with VLSI CAD algorithms and data structures and leverage EDA experience using tools such as Synopsys, Cadence, and ANSYS.
Location: Taiwan
Workplace: Onsite
Employment Type: Internship
Job Function: Design (Product/UX/UI/Visual)
Seniority: Intern level

Key Responsibilities

  • •Develop in-house tools and solutions for VLSI physical design.
  • •Own flow automation, quality control, and performance improvement of the NVIDIA VLSI physical design flow.
  • •Work with EDA vendors on tools evaluation and improvement.
  • •Apply analytical techniques to placement, routing, timing, clock, power/noise, and DFM.
  • •Use VLSI CAD algorithms and data structures to improve physical design workflows.

Key Requirements

  • •Pursuing MS/PhD in CS/EE.
  • •Proficient user of C/C++/Python/Perl.
  • •Basic knowledge of device model, processing technology, timing, noise and power in chip design.
  • •Analytical ability across placement, routing, timing, clock, power, noise and DFM.
  • •Experience with mathematical algorithms and data structures for VLSI CAD.
Experience:EDAVLSIDL/ML
Education:PhD / Doctorate in CS/EE
Skills:Analytical abilityCreativityAutonomy
Tech Stack:CC++PythonPerlSynopsys DCSynopsys ICC2Synopsys STAR-RCSynopsys PTSynopsys ICVCadence GenusCadence InnovusCadence QuantusCadence TempusCadence PVSANSYS SeahawkANSYS RedhawkDLMLData structuresAlgorithms

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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