PhD Research Scientist Intern - 2026 at NVIDIA

Zurich, Zurich, Switzerland

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Not SpecifiedCompensation

Internship, Junior (1 to 2 years)Experience Level

InternshipJob Type

UnknownVisa

Technology, AI, Networking, High-Performance ComputingIndustries

Requirements

Pursuing a Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university
Background in algorithm design, system programming, and computer architecture
Strong programming and software development skills
A teammate with a can-do attitude, high energy and excellent interpersonal skills
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment

Responsibilities

Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo or NVIDIA NIXL
Research, develop and evaluate new technologies, innovations relevant for scientific, Deep Learning, and data-intensive workloads
Create proof-of-concept to evaluate and drive such new technologies
Work on impactful projects involving state-of-the-art high-performance computing software and hardware
Design and implement services, runtime systems, and applications over SDK
Partner and collaborate with other forward-thinking team members and external researchers

Skills

PhD

Computer Science

Electrical Engineering

Computer Engineering

algorithm design

system programming

computer architecture

GPU Networking

AI workloads

Deep Learning

high-performance computing

hardware acceleration

distributed computing

RDMA

cryptography

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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