# Compute Developer Technology Engineer

**Company**: NVIDIA
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/Developer-Technology-Engineering-Intern---Compute-Performance_JR2026775?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_69ec584b-86b

## Description

NVIDIA is hiring passionate, world-class computer science students to work in its Compute Developer Technology (Devtech) team.

In this role, you will research and develop techniques to GPU-accelerate leading applications in high performance computing fields within scientific computing, computational engineering, and data science.

Responsibilities:

- Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through both library development and direct contribution to the applications.

- Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models, by investigating the impact on application performance and developer productivity.

Requirements:

- Pursuing a MSc or preferably PhD degree in an engineering or computer science related discipline.

- Programming fluency in C/C++ and/or Fortran with a 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, with a logical approach to problem solving, good time management, and task prioritization skills.

## Skills

### Required
- C/C++
- Fortran
- parallel programming
- CUDA C/C++
- OpenACC
- linear algebra
- numerical methods

### Nice to have
- telecommunications
- medical imaging
- machine learning
- deep learning
- natural sciences

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/Developer-Technology-Engineering-Intern---Compute-Performance_JR2026775?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)