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NVIDIA

AI Developer Intern

NVIDIA

. Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics .

Posted 10/8/2026internshipMunich • GermanyEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in deep learning, machine learning, and data analytics, with a strong foundation in C/C++ and parallel programming, particularly using CUDA. Capable of collaborating with cross-functional teams to influence the design of advanced GPU architectures and AI solutions.

Highest-signal resume keywords
Deep Learning FrameworksC/C++ ProgrammingCUDA C/C++ Parallel ProgrammingAI AlgorithmsData Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Deep LearningMachine LearningData AnalyticsC/C++CUDAParallel ProgrammingAI SolutionsGPU ArchitecturesProgramming TechniquesOptimization
Soft Skills
Strong CommunicationOrganization SkillsProblem SolvingTime ManagementTask Prioritization
Industry Keywords
GPU ArchitecturesAI SolutionsComputational ProfileNatural Science DisciplineCross-Functional Collaboration

Tech Stack

Tools & technologies
C++

About the role

Key responsibilities & impact
  • Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics
  • Perform in-depth analysis and optimization for current- and next-generation GPU architectures
  • Work directly with key customers to understand current and future problems and provide AI solutions using GPUs
  • Collaborate with architecture, research, libraries, tools, and system software teams
  • Influence the design of next-generation architectures, software platforms, and programming models

Requirements

What you’ll need
  • Pursuing a Bachelor degree, Master degree, or PhD degree in engineering, computer science, or a related natural science discipline with a strong computational profile
  • Good knowledge of C/C++, deep learning frameworks, programming techniques, and AI algorithms
  • Firsthand work experience with parallel programming, ideally CUDA C/C++
  • Strong communication and organization skills
  • Logical approach to problem solving
  • Good time management and task prioritization skills
  • Some travel required for conferences and on-site visits with developers

Benefits

Comp & perks
  • Equal opportunity employment and non-discrimination commitment
  • Some travel for conferences and on-site visits