Developer Technology Engineering Intern, HPC and AI - 2027

NVIDIA
Taipei
Workplace: OnsiteInternshipFunction: Software EngineeringEducation: bachelorsSkills: ["Communication","Organization","Logical problem solving","Time management","Task prioritization"]

Join NVIDIA as a Developer Technology Engineering Intern focused on HPC. You’ll study and build data analytics to analyze and optimize performance across current and next-generation GPU architectures. Work with key customers to understand real problems, and collaborate with architecture, research, libraries, tools, and system software teams to help shape next-generation architectures, software platforms, and programming models.

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FursaFursa
NVIDIA
NVIDIA
2 weeks ago

Developer Technology Engineering Intern, HPC and AI - 2027

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Last checked: 6 hours agoStatus: Live

Job Summary

Join NVIDIA as a Developer Technology Engineering Intern focused on HPC. You’ll study and build data analytics to analyze and optimize performance across current and next-generation GPU architectures. Work with key customers to understand real problems, and collaborate with architecture, research, libraries, tools, and system software teams to help shape next-generation architectures, software platforms, and programming models.
Location: Taipei
Workplace: Onsite
Employment Type: Internship
Job Function: Software Engineering
Seniority: Intern level

Key Responsibilities

  • •Study and develop data analytics and perform in-depth analysis and optimization for best performance on current and next-generation GPU architectures.
  • •Work directly with key customers to understand current and future problems they are solving.
  • •Collaborate with architecture, research, libraries, tools, and system software teams to influence next-generation architectures.
  • •Contribute to design of next-generation software platforms.
  • •Support programming-model development for GPU-based systems.

Key Requirements

  • •Pursuing a BS degree in an engineering or computer science related discipline (MS or PhD preferred).
  • •Expert mathematical fundamentals, including linear algebra and numerical methods.
  • •Strong knowledge of Fortran and/or C/C++.
  • •Experience with parallel programming, ideally OpenACC and CUDA C/C++.
  • •Good communication and organization skills with logical problem solving, time management, and task prioritization.
Experience:HPCAIGPU computingParallel programming
Education:Bachelor's in engineering or computer science related discipline
Skills:CommunicationOrganizationLogical problem solvingTime managementTask prioritization
Tech Stack:FortranC/C++C++OpenACCCUDAData analyticsGPU architecturesProgramming 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
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Glassdoor: 4.3
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