Physical Design Intern, VLSI - 2026 at NVIDIA

Shanghai, China

NVIDIA Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Semiconductor, TechnologyIndustries

Requirements

  • Pursuing MS in EE, CS, and Mathematics/Physics
  • Knowledge of IC design or algorithm and programming
  • Ways to stand out from the crowd
  • Hands-on experience in IC design or physical design
  • Hands-on experience in popular programming language (Python etc.)
  • DL/ML project experience

Responsibilities

  • 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

Skills

Key technologies and capabilities for this role

VLSIPhysical DesignFloorplanPlacementRoutingTiming AnalysisPower AnalysisNoise AnalysisPhysical VerificationPythonIC DesignEDA ToolsAIMachine Learning

Questions & Answers

Common questions about this position

What degree is required for the Physical Design Intern position?

Candidates must be pursuing an MS in EE, CS, or Mathematics/Physics.

What are the main responsibilities for this VLSI intern role?

Responsibilities include working on flow enhancement for floorplan, power/clock distribution, placement, routing, timing/power/noise analysis, chip assembly, and physical verification; developing in-house tools; and exploring AI solutions for workflow efficiency.

What skills will make me stand out for this internship?

Hands-on experience in IC design or physical design, experience with popular programming languages like Python, and DL/ML project experience will help you stand out.

What is the minimum qualification needed for this role?

Knowledge of IC design or algorithm and programming is required.

Is the salary or compensation mentioned for this intern position?

This information is not specified in the job description.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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