PhD Research Intern, Security and Privacy - 2026 at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Pursuing a Ph.D. in CE/CS/EE with a strong background in computer architecture, operating systems, programming languages/compilers, applied cryptography, and/or AI/ML (or equivalent experience)
Demonstrated expertise in at least one specific security area (applied cryptography, programming languages, software systems, AI/ML algorithms, computer architecture, etc.) with the ability to become the go-to resource within a team having varied backgrounds
Strong publication and research collaboration records
Experience with experimental research and development
Experience with C, C++, Python, and/or scripting languages

Responsibilities

Understand and analyze the potential vulnerabilities and risks in future systems for AI and AI-based systems
Develop creative hardware, software, and algorithms to enable trustworthy AI systems with strong and verifiable security, privacy, and safety guarantees
Collaborate with a diverse set of teams across the company, spanning software, hardware, research, and product groups
Publish original research and speak at conferences and events

Skills

Key technologies and capabilities for this role

Computer ArchitectureOperating SystemsProgramming LanguagesCompilersApplied CryptographyAI/ML AlgorithmsCUDASecurityPrivacy

Questions & Answers

Common questions about this position

What is the hourly rate for this PhD Research Intern position?

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 in this role?

Interns are eligible for intern benefits.

What are the required skills and background for this internship?

Candidates must be pursuing a Ph.D. in CE/CS/EE with a strong background in computer architecture, operating systems, programming languages/compilers, applied cryptography, and/or AI/ML. Required expertise includes demonstrated skills in at least one security area such as applied cryptography, programming languages, software systems, AI/ML algorithms, or computer architecture, plus strong publication records, experimental research experience, and proficiency in C, C++, Python, or scripting languages.

What is the company culture like at NVIDIA for this role?

NVIDIA has hardworking, resourceful, and dedicated people, fostering a dynamic, technology-focused environment that values creative and collaborative security researchers.

What makes a strong candidate for this PhD Research Intern position?

Strong candidates have a proven track record of research excellence, strong publication and collaboration records, broad perspective on security/privacy across the hardware/software stack, depth in areas like computer architecture or applied cryptography, and experience with experimental research.

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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