AI Developer Technology Engineer Intern, AI - 2027

NVIDIA
China
Workplace: OnsiteInternshipFunction: Software EngineeringSkills: ["Communication","Organization","Problem-solving","Time management","Task prioritization"]

Develop and optimize state-of-the-art AI techniques for LLM/AIGX/GR, performing deep analysis to deliver top performance on current- and next-generation GPU architectures. Provide GPU-based AI solutions in collaboration with key customers. Partner with architecture, research, libraries, tools, and system software teams to influence next-generation architectures, software platforms, and programming models.

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FursaFursa
NVIDIA
NVIDIA
3 weeks ago

AI Developer Technology Engineer Intern, AI - 2027

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Develop and optimize state-of-the-art AI techniques for LLM/AIGX/GR, performing deep analysis to deliver top performance on current- and next-generation GPU architectures. Provide GPU-based AI solutions in collaboration with key customers. Partner with architecture, research, libraries, tools, and system software teams to influence next-generation architectures, software platforms, and programming models.
Location: China
Workplace: Onsite
Employment Type: Internship
Job Function: Software Engineering
Seniority: Intern level

Key Responsibilities

  • •Develop and work on state-of-the-art techniques in LLM/AIGX/GR.
  • •Perform in-depth analysis and optimization to ensure best performance on current- and next-generation GPU architectures.
  • •Provide the best AI solutions using GPUs working directly with key customers.
  • •Collaborate with architecture, research, libraries, tools, and system software teams.
  • •Influence the design of next-generation architectures, software platforms, and programming models.

Key Requirements

  • •Available to work as an intern for at least 3 months, 3 days per week.
  • •Pursuing MS or PhD in an engineering or computer science related discipline, graduating in 2028.
  • •Strong knowledge of programming techniques and AI algorithms (LLM, AIGX, or GR).
  • •Experience with parallel programming, ideally CUDA C/C++.
  • •Strong communication, organization, and logical problem-solving with time management and task prioritization.
Education:
Skills:CommunicationOrganizationProblem-solvingTime managementTask prioritization
Tech Stack:AILLMAIGXGRGPUDeep LearningCUDACC++Parallel programming

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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