Test Development Software Engineering Intern, Aerial - 2027

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.