# Developer Technology Engineering Intern, AI - 2027

**Company**: NVIDIA
**Location**: Beijing
**Job type**: internship
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Beijing/Developer-Technology-Engineering-Intern--AI---2027_JR2024258?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f42fe40f-560

## Description

As a Developer Technology Engineering Intern in NVIDIA's Compute Developer Technology team, you will work on state-of-the-art techniques in deep learning, graphs, machine learning, and data analytics.

Your responsibilities will include:

- Developing and optimizing techniques to ensure the best possible performance on current and next-generation GPU architectures

- Providing AI solutions using GPUs, working directly with key customers

- Collaborating with architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models

To be considered, you should:

- Be pursuing a Master's or Ph.D. degree from a leading university in an engineering or computer science-related field

- Have programming proficiency in C/C++ and/or Fortran, with a deep understanding of software design, programming techniques, and algorithms

- Possess strong knowledge of C/C++, software design, programming techniques, and AI algorithms

- Have experience with parallel programming, ideally CUDA C/C++

- Demonstrate good 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++
- deep learning
- machine learning
- data analytics

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Beijing/Developer-Technology-Engineering-Intern--AI---2027_JR2024258?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
