Software Intern, Compiler at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Semiconductor, High-Performance ComputingIndustries

Requirements

Strong C/C++ systems programming skills
Understanding of computer architecture and memory management
Experience with Linux development and build systems (CMake)
Experience with LLVM compiler (preferred)

Responsibilities

Develop and optimize kernel-level code using RISC-V Vector Extension (RVV) instructions to accelerate compute-intensive operations
Implement vectorized kernels for common computational patterns including mathematical operations, data transformations, and memory operations
Collaborate with hardware architects and compiler teams to understand RVV microarchitecture and optimize for performance
Write and maintain unit tests and benchmarks to validate correctness and measure performance improvements
Profile and analyze kernel performance using hardware counters and simulation tools

Skills

Key technologies and capabilities for this role

CC++RISC-VRVVsystems programmingcomputer architecturememory managementLinuxCMakeLLVMkernel developmentunit testingprofilingbenchmarks

Questions & Answers

Common questions about this position

What are the key responsibilities for this Software Intern role?

You'll develop and optimize kernel-level code using RISC-V Vector Extension (RVV) instructions, implement vectorized kernels for computational patterns, collaborate with hardware architects and compiler teams, write unit tests and benchmarks, and profile kernel performance.

What skills are required for this compiler software intern position?

Strong C/C++ systems programming skills, understanding of computer architecture and memory management, experience with Linux development and build systems like CMake, and LLVM compiler experience is preferred.

Is this a remote position or full-time in office?

This information is not specified in the job description.

What will I learn in this NVIDIA software intern role?

You'll learn about the RISC-V Vector ecosystem and hardware-software interfaces, high-performance computing optimization techniques, and vector processing architectures.

What is the compensation or salary for this intern position?

This information is not specified in the job description.

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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