HPC and AI Software Architecture Intern - 2025 at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

High Performance Computing, Artificial Intelligence, NetworkingIndustries

Requirements

Pursuing a PhD in computer science, computer engineering, or a closely related field
Background in parallel programming models, and/or network architecture
Background in algorithm design, system programming, and computer architecture
Strong programming and software development skills
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment

Responsibilities

Creating prototypes to evaluate and motivate extensions in programming models (CUDA, NCCL, MPI, OpenSHMEM), new designs in runtimes, and new features in the network hardware
Research, design and implement features for HPC communication middleware and Deep Learning frameworks such as TensorFlow and PyTorch
Work with hardware architects to define the future hardware relevant for scientific applications, Deep learning, and data-intensive workloads

Skills

Key technologies and capabilities for this role

CUDANCCLMPIOpenSHMEMTensorFlowPyTorchparallel programmingnetwork architecturesystem programmingcomputer architectureHPCalgorithm design

Questions & Answers

Common questions about this position

What qualifications are required for the HPC and AI Software Architecture Intern position?

Candidates must be pursuing a PhD in computer science, computer engineering, or a closely related field, with background in parallel programming models and/or network architecture, algorithm design, system programming, computer architecture, and strong programming skills.

What is the salary or compensation for this internship?

This information is not specified in the job description.

Is this a remote position, or does it require working in an office?

This information is not specified in the job description.

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 innovation, great technology, and amazing people, with forward-thinking and hardworking teams.

What makes a candidate stand out for this intern role?

Stand out with a deep understanding of technology and passion for your work, strong collaborative and interpersonal skills, experience in designing communication middleware for HPC systems like InfiniBand and NVLINK, implementing libraries such as MPI or NCCL, and programming models for emerging architectures.

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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