AI Developer Technology Engineering Intern - 2027

NVIDIA
Beijing, Shanghai, Shenzhen
Workplace: OnsiteInternshipFunction: Software EngineeringEducation: mastersSkills: ["Communication","Organization","Problem solving","Time management","Task prioritization"]

Develop and optimize state-of-the-art deep learning, graph, machine learning, and data analytics techniques for current and next-generation GPU architectures. Provide AI solutions using GPUs, working directly with key customers. Collaborate with architecture, research, libraries, tools, and system software teams to shape next-generation architectures, software platforms, and programming models.

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FursaFursa
NVIDIA
NVIDIA
1 week ago

AI Developer Technology Engineering Intern - 2027

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Develop and optimize state-of-the-art deep learning, graph, machine learning, and data analytics techniques for current and next-generation GPU architectures. Provide AI solutions using GPUs, working directly with key customers. Collaborate with architecture, research, libraries, tools, and system software teams to shape next-generation architectures, software platforms, and programming models.
Location: Beijing, Shanghai, Shenzhen
Workplace: Onsite
Employment Type: Internship
Job Function: Software Engineering
Seniority: Intern level

Key Responsibilities

  • •Work and develop state-of-the-art techniques in deep learning, graphs, machine learning, and data analytics for GPU architectures.
  • •Perform in-depth analysis and optimization to ensure best possible performance on current- and next-generation GPU architectures.
  • •Provide AI solutions using GPUs working directly with key customers.
  • •Collaborate closely with architecture, research, libraries, tools, and system software teams.
  • •Influence the design of next-generation architectures, software platforms, and programming models.

Key Requirements

  • •Pursuing MS or PhD from a leading university in an engineering or Computer Science related discipline.
  • •Strong knowledge of C/C++, software design, programming techniques, and AI algorithms.
  • •Experience with parallel programming, ideally CUDA C/C++.
  • •Good communication and organization skills with a logical approach to problem solving, time management, and task prioritization.
Education:Master's in Engineering or Computer Science
Skills:CommunicationOrganizationProblem solvingTime managementTask prioritization
Tech Stack:C/C++CUDA C/C++Parallel programmingGPUDeep learningMachine learningGraphsData analytics

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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