NVIDIA 2026 Internships: Hardware Engineering at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, AI, SemiconductorsIndustries

Requirements

Must be 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
Strategic, ambitious, hard-working, and creative mindset
Passionate about tackling challenging problems in hardware engineering
Depending on the role: prior experience or knowledge in Verilog, SystemVerilog, VHDL, Perl, Python, TCL, Board-Level Design, PCB, Datacenter Systems, Linux, CAD Software (e.g., Solidworks, ProE, Creo, Catia, Unigraphics), MATLAB, MOSFETs, Lab Tools (Oscilloscope, Multimeter, Logic Analyzer)
For Mechanical Engineering roles: strong academic background in Mechanical Engineering and excellent interpersonal skills

Responsibilities

Work on 12-week full-time projects with measurable business impact (varies by team)
System Validation: Perform system validation and post-production activities for datacenter server products (e.g., HGX baseboards, DGX Servers, DGX Workstations); maintain relationships with Architecture, Hardware, and Software Design teams; ensure rigorous testing and debugging of new features and changes
Hardware Design: Conduct hardware testing, debugging, and validation of new products to meet performance, functional, and quality objectives; work with multi-disciplinary teams on cutting-edge visual computing platforms
Mechanical Engineering: Research and develop new concepts and materials for next-generation products; craft and test new NVIDIA products as part of a diverse, multi-functional team
Silicon Solutions: Productize NVIDIA’s chips into consumer, professional, server, mobile, and automotive solutions

Skills

Hardware Engineering

System Validation

Hardware Design

Electrical Engineering

Hardware Testing

Debugging

Validation

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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