Developer Technology Engineering Intern, AI - 2027

NVIDIA
Beijing, Shanghai
InternshipFunction: Software EngineeringSkills: ["Communication","Organization","Problem-solving","Time management","Task prioritization"]

Work on cutting-edge deep learning, graph, machine learning, and data analytics techniques, performing deep analysis and optimization for current and next-generation GPU architectures. Provide AI solutions using GPUs in collaboration with key customers. Partner 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
2 weeks ago

Developer Technology Engineering Intern, AI - 2027

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Work on cutting-edge deep learning, graph, machine learning, and data analytics techniques, performing deep analysis and optimization for current and next-generation GPU architectures. Provide AI solutions using GPUs in collaboration with key customers. Partner with architecture, research, libraries, tools, and system software teams to shape next-generation architectures, software platforms, and programming models.
Location: Beijing, Shanghai
Employment Type: Internship
Job Function: Software Engineering
Seniority: Intern level

Key Responsibilities

  • •Work and develop state-of-the-art deep learning, graph, machine learning, and data analytics techniques.
  • •Perform in-depth analysis and optimization to ensure best performance on 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.
  • •Influence the design of next-generation architectures, software platforms, and programming models.

Key Requirements

  • •Pursuing an MS or PhD degree in an engineering or computer science related field.
  • •Programming proficiency in C/C++ and/or Fortran with a strong understanding of software design, programming techniques, and algorithms.
  • •Strong knowledge of C/C++ and AI algorithms, including software design and programming techniques.
  • •Experience with parallel programming, ideally CUDA C/C++.
  • •Good communication and organizational skills with logical problem-solving and task prioritization.
Education:leading university
Skills:CommunicationOrganizationProblem-solvingTime managementTask prioritization
Tech Stack:AIDeep learningGraphsMachine learningData analyticsGPUCC++FortranParallel programmingCUDASoftware designAlgorithmsProgramming models

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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