Developer Technology Engineering Intern – Compute Performance

NVIDIA

. Research and develop techniques to GPU-accelerate leading applications in high performance computing fields within scientific computing, computational engineering, and data science .

Posted 10/15/2026full-timeZurich • SwitzerlandEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in GPU acceleration techniques and parallel programming, with a strong foundation in C/C++ and Fortran. Capable of optimizing algorithms and collaborating effectively with cross-functional teams in high-performance computing environments.

Highest-signal resume keywords

GPU Acceleration TechniquesC/C++ ProgrammingParallel Programming (CUDA C/C++ and OpenACC)Software Design and AlgorithmsMathematical Fundamentals (Linear Algebra and Numerical Methods)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C/C++ ProgrammingFortran ProgrammingGPU Acceleration TechniquesParallel ProgrammingCUDA C/C++OpenACCSoftware DesignAlgorithmsLinear AlgebraNumerical Methods

Soft Skills

Strong Communication SkillsOrganization SkillsLogical Problem SolvingTime ManagementTask Prioritization

Industry Keywords

High Performance ComputingScientific ComputingComputational EngineeringData ScienceTelecommunicationsMedical ImagingMachine LearningDeep LearningNatural Sciences

Tech Stack

Tools & technologies

C++

About the role

Key responsibilities & impact

Research and develop techniques to GPU-accelerate leading applications in high performance computing fields within scientific computing, computational engineering, and data science
Perform in-depth analysis and optimization for current and next-generation GPU architectures
Work directly with application developers to understand current and future problems
Craft and optimize core parallel algorithms and data structures for GPU solutions
Contribute through library development and direct application contributions
Collaborate with architecture, research, libraries, tools, and system software teams
Investigate application performance and developer productivity to influence next-generation architectures, software platforms, and programming models

Requirements

What you’ll need

Pursuing an MSc or preferably PhD degree in an engineering or computer science related discipline
Programming fluency in C/C++ and/or Fortran
Deep understanding of software design, programming techniques, and algorithms
Strong mathematical fundamentals, including linear algebra and numerical methods
Experience with parallel programming, ideally CUDA C/C++ and OpenACC
Strong communication and organization skills
Logical approach to problem solving
Good time management and task prioritization skills
Domain expertise in telecommunications, medical imaging, machine learning, deep learning, or natural sciences is helpful but not required

Benefits

Comp & perks

Highly competitive salaries
Comprehensive benefits package