# Accelerated Compute Systems Performance Architect Intern - 2027

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

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Accelerated-Compute-Systems-Performance-Architect-Intern---2027_JR2024823?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e6dc5b04-f5f

## Description

We are now looking for an Accelerated Computing Architect intern. NVIDIA is developing software and hardware system architectures for accelerated high performance computing, scientific computing, machine learning, artificial intelligence, datacenter, and automotive computing. This position offers you the opportunity to make a meaningful impact in a fast-moving, technology focused company.

**Responsibilities:**

- Perform in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs.

- Understand and analyze the interplay of hardware and software architectures on core algorithms, programming models, and applications.

- Actively collaborate with the hardware design, software engineering, product, and research teams to guide the direction of accelerated computing.

- Dive into accelerated computing applications to facilitate software-hardware co-design.

- Write up and present your work by writing white papers, conference publications, official blog posts, patent applications, etc. as appropriate.

**Requirements:**

- Pursuing B.Sc., M.Sc., or Ph.D. in relevant discipline (CS, EE, CE).

- A passion for performance analysis and optimization.

- Hands-on experience with the massively parallel GPU programming model, e.g. CUDA or OpenCL. Familiarity with APIs for multi-node communication, like MPI or OpenSHMEM/NVSHMEM, is a plus.

- Solid background in GPU and computer systems architecture.

- Strong knowledge of C and C++ with a solid understanding of software design, programming techniques, and algorithms. Familiarity with Python is a plus.

- Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

## Skills

### Required
- CUDA
- OpenCL
- GPU programming
- C
- C++
- computer systems architecture
- performance analysis
- optimization

### Nice to have
- Python
- MPI
- OpenSHMEM/NVSHMEM

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Accelerated-Compute-Systems-Performance-Architect-Intern---2027_JR2024823?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)