NVIDIA 2026 Internships: Hardware Physical Design / VLSI at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Semiconductors, TechnologyIndustries

Requirements

Actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship
Course or internship experience related to: Synthesis, Static Timing Analysis, Clock/Power Distribution and Analysis, RC Extraction and Correlation, Place and Route, Circuit Design
Course or internship experience related to: VLSI, Computer Architecture, Digital/Micro Electronics, Mixed-Signal Design, Digital Design, Logic Design
Course or internship experience related to: CAD and Physical Design Methodologies (Flow and Tools Development), Chip Floorplan, Power/Clock Distribution, Packaging, P&R (Place and Route) and Timing Closure
Course or internship experience related to: Chip Floor Plan, Power/Clock Distribution, Chip Assembly, Timing Closure, Power and Noise Analysis, and Back-End Verification
Experience with EDA Vendor tool suites such as: ICC2, PrimeTime, dc_shell, Innovus, SeaHawk (Synopsys, Cadence, Mentor, etc.)
Depending on the role, prior experience or knowledge in programming skills and technologies: Perl, C, C++, TCL, SPICE, Linux, Verilog, SKILL, Make, ICC2, Design Compiler, PrimeTime (Synopsys, First Encounter), Innovus, Virtuoso (Cadence)

Responsibilities

Work on projects that have a measurable impact on NVIDIA's business during the 12-week full-time internship

Skills

Key technologies and capabilities for this role

SynthesisStatic Timing AnalysisClock DistributionPower DistributionRC ExtractionPlace and RouteCircuit DesignVLSIComputer ArchitectureDigital DesignLogic DesignCADPhysical DesignFloorplanTiming ClosureChip Assembly

Questions & Answers

Common questions about this position

What is the hourly rate for the NVIDIA 2026 internships?

The hourly rate for interns ranges from 20 USD to 71 USD, based on the position, location, year in school, degree, and experience.

Are benefits offered for these internships?

Interns are eligible for benefits.

What is the duration and type of the internship?

The internship is a 12-week full-time program.

What skills and experience are required for these internships?

Requirements include enrollment in a Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, or related fields, plus course or internship experience in areas like Synthesis, Static Timing Analysis, Place and Route, VLSI, Computer Architecture, and tools such as ICC2, PrimeTime, Innovus. Programming skills in Perl, C, C++, TCL, Verilog, and others may be needed depending on the role.

What makes a strong candidate for these NVIDIA internships?

Strong candidates are actively enrolled students in relevant degrees, with course or internship experience in hardware physical design areas like synthesis, timing analysis, place and route, VLSI, and familiarity with EDA tools from Synopsys and Cadence. Strategic, ambitious, hard-working, creative individuals passionate about accelerated computing in AI and industry challenges stand out.

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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