# Software QA Intern, Spark Rapids - 2027

**Company**: NVIDIA
**Location**: Shanghai
**Experience**: internship
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Software-QA-Intern--Spark-Rapids----2027_JR2023655?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e2f20e98-3fa

## Description

We are seeking a Deep Learning Software QA Engineer Intern to join the NVIDIA Deep Learning Software Quality Assurance team. The team defines, develops, and performs tests to validate the robustness and measure the performance of NVIDIA's Deep Learning software and GPU Infrastructure for various AI scenarios.

Responsibilities:

- GPU Software testing and test automation improvement for NVIDIA optimized Deep Learning Frameworks (e.g., TensorFlow, PyTorch, PyG) and workloads running on GPU (e.g., SPARK RAPIDS, TAO).

- Maintain and develop test automation infrastructure (web-based).

- Perform functionality, compatibility, and performance tests in DL SW stack release.

- Collaborate with development teams to triage issues, root cause analysis, verify fixes, define new tests, and improve test plans.

- Web service development.

Requirements:

- Pursuing Master or higher degree in CS/EE/CE (Graduation in CY2028).

- Direct Spark ETL and AI Agent experience.

- Good user/development experience with virtualization (VM, Docker container, k8s, Slurm).

- Good Python skillset, knowledge of Flask, and Linux.

- Experience in C/C++/Java programming is a plus.

- Familiarity with any Deep Learning Framework is a strong plus.

- Good communication skills, fluent oral and written English.

Preferred Qualifications:

- Familiarity working with NVIDIA GPU hardware.

- Background with NVIDIA GPU Computing (CUDA).

- Development experience using AI tools/Agent for E2E workflow or project features.

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

## Skills

### Required
- Python
- Flask
- Linux
- C/C++
- Java
- Spark ETL
- AI Agent
- Virtualization (VM, Docker, k8s, Slurm)
- Deep Learning Frameworks

### Nice to have
- NVIDIA GPU hardware
- NVIDIA GPU Computing (CUDA)
- AI tools/Agent for E2E workflow or project features

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Software-QA-Intern--Spark-Rapids----2027_JR2023655?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)