NVIDIA 2026 Internships: PhD Hardware Research at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, SemiconductorIndustries

Requirements

Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship
Depending on the internship, prior experience or knowledge in programming skills and technologies: Python, C, C++, Perl, MATLAB, CUDA, Verilog, SystemVerilog, CAD tool packages (e.g., Cadence, Synopsys, HFSS), ML Frameworks (e.g., PyTorch), EDA tools
Strong background in research with publications at top conferences and/or patents
Excellent communication and collaboration skills
Research experience in at least one of the following areas: Circuit Design, PLLs and Clocking Circuits, SerDes and High-Speed Signaling, Integrated Photonics and Optical Interconnects, SRAMs, Memory Design, and Cache Architectures, Power Delivery/Regulation, Security Circuits and Hardware Security, High-Speed Logical Design, Novel Digital VLSI Circuits, ASIC and VLSI, ASIC and VLSI Design Techniques, ML Accelerators, Hardware/software co-design, Electronic Design Automation, GPU accelerated EDA, Agent for Hardware Design

Responsibilities

Design and implement novel approaches to circuit and VLSI design, including ASIC development and advanced EDA methodologies
Collaborate with other team members, teams, and/or external researchers
Transfer research to product groups to enable new products or types of products
Deliver results including prototypes, patents, products, and/or publishing original research

Skills

Key technologies and capabilities for this role

PythonCC++PerlMATLABCUDAVerilogSystemVerilogCadenceSynopsysHFSSPyTorchEDA tools

Questions & Answers

Common questions about this position

What is the hourly rate for this internship?

The hourly rate for interns ranges from 30 USD to 94 USD, based on the position, location, year in school, degree, and experience.

Are there benefits for interns?

Interns are eligible for benefits offered by NVIDIA.

What are the location requirements for this internship?

This information is not specified in the job description.

What skills and experience are required for this PhD hardware research internship?

Candidates must be enrolled in a PhD in Computer Science, Electrical Engineering, or related field, with a strong research background including publications or patents. Required skills may include Python, C/C++, Verilog, SystemVerilog, EDA tools, and experience in areas like circuit design, VLSI, or ML accelerators. Excellent communication and collaboration skills are also needed.

What makes a strong candidate for these NVIDIA internships?

Strong candidates are strategic, ambitious, hard-working, creative PhD students passionate about hardware research, with publications or patents, relevant technical skills in areas like VLSI or circuit design, and excellent collaboration 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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