NVIDIA 2026 Internships: Hardware ASIC Design  at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Technology, SemiconductorIndustries

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: Digital Systems, Digital Design, VLSI Design, RTL Design, Chip Blueprint, Power and Performance Optimization, Testbench Creation, Computer Architecture, Computer Arithmetic, Object-Oriented Programming, CMOS Transistors, Circuits, Infrastructure Development, Architectural Tradeoff Analysis, Power and Noise Analysis, Silicon Instrumentation and Measurement, CAD and Physical Design Methodologies (Flow and Tools Development), Chop Floorplan, Power/Clock Distribution, Packaging, P&R and Timing Closure, Performance, Verification, and Emulation Methodology
  • Depending on the role, prior experience or knowledge in programming skills and technologies: SystemVerilog, Verilog, VHDL, UVM, Perl, Python, TCL, C, C++, Linux, Testbench Tools

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

Digital DesignVLSI DesignRTL DesignComputer ArchitectureObject-Oriented ProgrammingCMOS TransistorsPower OptimizationTestbench CreationCADPhysical DesignTiming ClosureVerificationPower AnalysisComputer ArithmeticSilicon Instrumentation

Questions & Answers

Common questions about this position

What is the hourly rate for the NVIDIA 2026 Hardware ASIC Design internships?

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

What benefits are offered to interns?

Interns are eligible for intern benefits, with more details available through NVIDIA's early talent programs resources.

Is this internship remote or does it require on-site work?

This information is not specified in the job description.

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 field, plus course or internship experience in areas like Digital Design, VLSI Design, RTL Design, Computer Architecture, and programming skills such as SystemVerilog, Verilog, VHDL, Python, C/C++, and others depending on the role.

What makes a strong candidate for these NVIDIA internships?

Strong candidates are strategic, ambitious, hard-working, creative individuals passionate about tackling challenges, with relevant university enrollment and experience in hardware ASIC design areas like digital design, RTL, and related programming skills.

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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