TPC Arch Intern, GPU SM - 2026 at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, Semiconductors, AI, GamingIndustries

Requirements

Good mastery of C++ language
Pursuing BSEE or BSCSE (MS or PhD is a plus)
Experience of performance/functional modelling, profiling and analysis (plus)
Practice with trace-driven and execution-driven simulation model development (plus)

Responsibilities

Investigate and propose architecture ideas based on quantitative study of existing and projected SM architecture
Develop performance and functional simulation models
Develop performance and functional testplan and tests to validate new SM architectural and features
Test and debug on simulators, RTL and real silicon

Skills

Key technologies and capabilities for this role

C++GPU ArchitecturePerformance ModelingFunctional ModelingSimulation ModelsProfilingValidationRTLShader Unit DesignMicroprocessor DesignTrace-Driven SimulationExecution-Driven Simulation

Questions & Answers

Common questions about this position

What skills are required for the TPC Arch Intern position?

Candidates must have good mastery of C++ language and be pursuing a BSEE or BSCSE, with MS or PhD being a plus. Experience in performance/functional modelling, profiling, and analysis is a plus, as is practice with trace-driven and execution-driven simulation model development.

What does the role involve day-to-day?

The role includes investigating and proposing architecture ideas based on quantitative studies, developing performance and functional simulation models and tests, and testing and debugging on simulators, RTL, and real silicon.

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 compensation or salary for this internship?

This information is not specified in the job description.

How can I stand out as a candidate for this role?

Candidates with GPU shader unit design, microprocessor design, and CPU/GPU performance analysis experience are preferred. NVIDIA seeks creative and autonomous individuals.

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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