Arch Intern, CPU at NVIDIA

Shanghai, China

NVIDIA Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Semiconductor, TechnologyIndustries

Requirements

  • Bachelor's, Master's, or PhD in CS or EE
  • Proficient C++ programming and debugging skills
  • Knowledge of SystemC (plus)
  • Python scripting experience (plus)
  • Enthusiastic and self-starter with good communication skills
  • Experience in performance modeling or micro-architecture side channel attack (strong plus)

Responsibilities

  • Learn the architecture of the current design
  • Work closely with senior architects to understand requirements and challenges
  • Research & evaluate different solutions
  • Produce a solution proposal to meet all requirements
  • Develop performance models and tests to validate the proposal

Skills

Key technologies and capabilities for this role

C++SystemCPythonRISC-VCPU ArchitecturePerformance ModelingMicro-architecture

Questions & Answers

Common questions about this position

What education is required for the Arch Intern, CPU position?

Bachelors, masters, or PhDs in CS or EE are welcome for this internship role targeting MS or PhD students.

What are the key skills needed for this CPU architect internship?

Proficiency in C++ programming and debugging is required, with knowledge of SystemC, Python scripting, performance modeling, or micro-architecture side channel attack as strong pluses.

Is this a remote internship or does it require being on-site?

This information is not specified in the job description.

What does the team environment look like for this role?

You'll work closely with world-class architects on a team building embedded RISC-V CPU for NVIDIA GPU and Tegra SOC, in a collaborative research-focused environment.

What qualities make a strong candidate for this internship?

Creative and talented students who are enthusiastic self-starters with good communication skills, plus experience in performance modeling or micro-architecture side channel attacks, stand out.

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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