# Test Development Software Engineering Intern, Aerial - 2027

**Company**: NVIDIA
**Location**: Shanghai
**Work arrangement**: onsite
**Experience**: entry
**Job type**: internship
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Test-Development-Software-Engineering-Intern--Aerial---2027_JR2023852?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f71460a3-0f3

## Description

We are seeking a Test Development Software Engineering Intern to join our team in Shanghai. As a Test Development Engineer (Intern) at NVIDIA, you will utilise AI development tools to improve quality and productivity across the end-to-end QA workflow.

**Responsibilities:**

- Utilise AI to improve quality and productivity across QA End-to-End workflow, including optimising test coverage, identifying high-risk areas in software systems, automating test case generation, defect detection, and regression testing.

- Work closely with multi-functional teams to understand test requirements and take ownership of product quality.

- Develop test plans, design test cases, complete testing via automation and/or manually, and compose test reports.

- Build and maintain complicated test environments.

- Manage bug lifecycle and co-work with inter-groups to drive for solutions.

- Assist in the architecture, crafting, and implementing of SWQA test frameworks.

- Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, raise if not fixed.

**Requirements:**

- Currently pursuing a Master degree in Telecommunication/Computer Science/Electronic Engineering/Computer Engineering or equivalent.

- Background with LTE/5G MAC and PHY from both system-level and low-level 3GPP specification perspectives.

- Interested in understanding QA methodologies.

- Familiarity with AI-powered testing frameworks and platforms that improve process efficiency.

- Proficient Linux experience and shell/python/perl programming skills.

- Strong analytical and problem-solving skills.

- Available to work full-time, on-site, five days per week for one year.

- Self-motivated, collaborative, and team-oriented, with excellent interpersonal skills and a strong work ethic.

**Nice to Have:**

- Proficient experience in Keysight equipment.

- Background with working with NVIDIA GPU and/or DPU hardware is a strong plus.

- Experience in using or managing cloud technologies like Kubernetes, OpenStack, and Docker.

## Skills

### Required
- AI development tools
- Linux
- shell
- python
- perl
- LTE/5G MAC and PHY
- QA methodologies
- AI-powered testing frameworks

### Nice to have
- Keysight equipment
- NVIDIA GPU and/or DPU hardware
- Kubernetes
- OpenStack
- Docker

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Test-Development-Software-Engineering-Intern--Aerial---2027_JR2023852?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)