NVIDIASoftware Engineering Intern, Test Development - 2027
NVIDIA is hiring a Software Engineering Intern, Test Development - 2027 in Shanghai, China. Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Python, Docker and Kubernetes.
- Level files it as an internship.
- Level lists 2,700+ other open roles at NVIDIA.
- The role was posted in the last few days.
AI in this role
Build automated test suites and leverage AI-powered tools to accelerate test generation and triage.
NVIDIA is well positioned as the “AI Computing Company”, our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We are looking for a Software QA Test Development Engineer Intern to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage tens of thousands of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks.
What you'll be doing:
- Analyze requirements and design test matrices covering functionality, performance, robustness, and edge cases.
- Develop test plans and cases; build and maintain automated test suites (API / UI / CLI / E2E) in Python; enhance framework architecture and implementation.
- Leverage AI-powered tools and agentic workflows to accelerate case generation, triage, and root cause analysis.
- Integrate automation testing in CI/CD pipelines to build reliable fast feedback loops.
- Manage the full bug lifecycle — filing, reproduction, and driving multi-functional collaboration to resolution.
- Reproduce and verify customer-reported issues to ensure quality before release.
- Find opportunities to improve QA efficiency through tooling and automation.
What we need to see:
- Currently pursuing a MS or higher degree in CS/EE/CE or related field
- Solid software development skills with hands-on project experience.
- Proficient in Python; familiar with Unix/Linux and shell scripting.
- Experience using AI-powered development tools to boost productivity in real projects.
- Familiarity with Docker / Kubernetes and cloud-based test infrastructure.
- Familiarity with test methodologies — test design, automation, and defect analysis.
- Strong QA instinct — attention to detail, analytical, systematic problem-solver.
- Fluent English (written & spoken); takes initiative and collaborates well.
- Ability to work full-time, on-site five days per week, for one year.
Ways to stand out from the crowd:
- Hands-on with Agentic AI workflows — AI agents for task automation or intelligent testing.
- Built E2E test automation frameworks (pytest, CI/CD integration).
- Open-source contributions or visible GitHub portfolio.
- Knowledge of LLM evaluation — prompt engineering, accuracy measurement, or AI guardrails.
- Prior experience in a fast-paced, ship-focused environment.
Join our team of world-class engineers and be part of the groundbreaking work we do at NVIDIA. This internship offers an excellent opportunity to learn from experienced engineers, work on innovative technology, and make significant contributions. We are committed to fostering a collaborative and inclusive environment, where every team member has the opportunity to thrive and make a significant impact.
How we rate this
Software Engineering Intern, Test Development - 2027 at NVIDIA rates 55 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you decide that one model's output is better than another's for a given task?
- Tell me about a project where qa was part of your work. What did you do?
- Tell me about a project where test automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, AI agents, AI Evaluation, Qa, and Test Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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