System Software Engineer Intern, AI Performance And Efficiency Tools, Summer 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, AI, SemiconductorsIndustries

Requirements

Pursuing a Bachelor's or higher degree in Computer Science or Computer Engineering
Strong programming skills with Python and C++
Familiar with at least one GPU API among CUDA, DirectX, and Vulkan
Proven understanding of solving low-level software and hardware problems

Responsibilities

Build internal profiling/analysis tools for real-world application perf/power analysis at system level from small to large scale
Build infrastructure or services for data visualization/mining and management
Work with users to build their perf/power models on top of the tools for next-generation HW design

Skills

Key technologies and capabilities for this role

PythonC++CUDADirectXVulkanGPU APILinuxWindowsdistributed DLPyTorchJAXTensorFlowprofilingdata visualization

Questions & Answers

Common questions about this position

What degree is required for the System Software Engineer Intern position?

Candidates must be pursuing a Bachelor's or higher degree in Computer Science or Computer Engineering.

What programming skills are required for this internship?

Strong programming skills with Python and C++ are required.

What GPU API experience is needed for this role?

Familiarity with at least one GPU API among CUDA, DirectX, and Vulkan is required.

Is this a full-time or part-time internship?

This is a full-time internship.

What makes a candidate stand out for this NVIDIA internship?

Candidates stand out with understanding of distributed DL training/inference, skills in building modern web applications, knowledge of Windows/Linux OS internals, experience contributing to large open-source projects, and contributions to DL frameworks like PyTorch/JAX/TensorFlow.

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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