High Performance AI Intern - Spring 2026 at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

AI, Technology, High Performance ComputingIndustries

Requirements

Pursuing a Bachelors, Masters or PhD in CS/ECE
Knowledge in agentic AI, LLMs, reinforcement learning, HPC, computer architecture, and/or programming languages/compilers
Experience with AI systems development; exposure to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks
C/C++ and Python programming skills; solid software engineering fundamentals
Experience with GPU programming and performance optimization (CUDA or equivalent)

Responsibilities

Design, build and optimize agentic AI systems and coding tools for the CUDA ecosystem
Co-design agentic system solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available
Collaborate across the AI stack—from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving—and with model/agent teams
Develop reproducible/scalable, high-fidelity evaluation/data engineering frameworks covering performance, quality and developer productivity

Skills

Key technologies and capabilities for this role

agentic AILLMsreinforcement learningHPCcomputer architectureprogramming languagescompilersCUDAdeep learning frameworksdistributed traininginference

Questions & Answers

Common questions about this position

What is the compensation for this High Performance AI Intern position?

NVIDIA offers competitive salaries and a generous benefits package.

Is this internship remote or does it require working in an office?

This information is not specified in the job description.

What skills are required for this High Performance AI Intern role?

Required skills include pursuing a degree in CS/ECE, knowledge in agentic AI, LLMs, reinforcement learning, HPC, computer architecture, or programming languages/compilers, experience with AI systems development and deep learning frameworks, C/C++ and Python programming, solid software engineering fundamentals, and GPU programming with performance optimization using CUDA or equivalent.

What is the company culture like at NVIDIA?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, fueled by great technology and amazing people.

What makes a candidate stand out for this internship?

Candidates stand out with a PhD, strong experience in building/evaluating large AI models and agentic AI systems, ability to optimize and deploy high-performance AI models or GPU performance optimizations with benchmark wins or published results, and publications or open-source leadership in relevant AI areas.

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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