Compute System Arch AI Infra Intern - 2027

NVIDIA
Shanghai
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Collaboration","Analytical skills","Problem-solving"]

Work with the Compute System Architect team to understand AI infrastructure requirements and existing AI infra flows, then co-design and implement AI infrastructure for GPU compute systems. You’ll build and validate testing use cases across pre- and post-silicon platforms, deliver the solution with organized documentation, and report feedback and improvement opportunities with your mentor.

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FursaFursa
NVIDIA
NVIDIA
6 days ago

Compute System Arch AI Infra Intern - 2027

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Work with the Compute System Architect team to understand AI infrastructure requirements and existing AI infra flows, then co-design and implement AI infrastructure for GPU compute systems. You’ll build and validate testing use cases across pre- and post-silicon platforms, deliver the solution with organized documentation, and report feedback and improvement opportunities with your mentor.
Location: Shanghai
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Learn the Compute System Architect team’s daily work and AI infrastructure requirements.
  • •Collaborate with a mentor to propose, review, and finalize AI infra design.
  • •Implement AI infrastructure according to the design.
  • •Collect and use testing use cases to verify the implementation.
  • •Deliver organized documentation, collect feedback, and provide a project summary report.

Key Requirements

  • •Good communication and collaboration skills.
  • •Strong analytical skills and problem-solving ability.
  • •Familiar with AI-assisted development.
  • •Experience building AI-integrated flows.
  • •Pursuing a Bachelor in CS or EE (MS/PhD a plus).
Education:Bachelor's
Skills:CommunicationCollaborationAnalytical skillsProblem-solving
Tech Stack:AIAI infrastructureRAGAI agentsGPU architectureFull chip verification

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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