- Location
- China, Shanghai
- Workplace
- Onsite
- Type
- Internship
- Department
- Engineering
- Seniority
- Internship
- Education
- Master
- Source
- Workday
Description
We are looking for someone to be passionate about quality assurance. You’ll collaborate with multi-functional groups. Test Development Engineers (Intern) at NVIDIA aren't only manual testers, you will be using AI development tools to improve quality and productivity across the end-to-end QA workflow. We'd like to see your ability to identify weak spots and constantly craft better and creative test plans to break software and identify potential issues by using AI development tools with good programming skills. You'll have a huge impact on the quality of NVIDIA's enterprise product.
What you’ll be doing:
Utilizing AI to improve quality and productivity across QA End-to-End workflow, including optimizing 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 the 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 our complicated test environments.
Manage bug lifecycle and co-work with inter-groups to drive for solutions.
You will 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.
Experience in using AI development tools. Adept at creating detailed test cases, automating them, increasing code coverage, identifying valid bugs early on, and solving these bugs swiftly.
What we need to see:
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.
Ways to stand out from the crowd:
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.