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 NVIDIA.
Level's read on this job
- Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
- Tools and skills the posting cites include Python, Docker and Kubernetes.
- Level classifies it as an internship.
- Level lists 2,700+ other open roles at NVIDIA.
AI in this role
Develop test automation scripts and leverage AI-powered tools to accelerate test generation and root cause analysis.
NVIDIA is the world leader in GPU Computing. We are passionate about markets including gaming, automotive, professional vision, HPC, datacenters and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and if working with hard-working technical people across countries sounds exciting, this job is for you.
We are now looking for a Software QA Test Development Engineer, you will collaborate with multi-functional groups. SWQA test developer engineer at NVIDIA is responsible for test planning, execution, and reporting, you will also write scripts to automate testing, design and develop tools for QA team, or develop integration tests for validation, so QA engineer can improve productivity or optimize test plan. As a SWQA test developer, you must identify weak spots and constantly design better and creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products.
What You’ll Be Doing
Analyze requirements and design test matrices covering functionality, performance, and edge cases.
Develop test plans and cases; build and maintain automated test suites (API / UI / CLI / E2E) in Python.
Leverage AI-powered tools and agentic workflows to accelerate test generation, triage, and root cause analysis.
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
Pursuing Master’s or higher 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:
Built E2E test automation frameworks (pytest, CI/CD integration).
Hands-on with Agentic AI workflows — AI agents for task automation or intelligent testing.
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.
How we rate this
Software Engineering Intern, Test Development - 2027 at NVIDIA rates 45 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. Read the description and count the AI tools, models and workflows it names.
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 software engineering was part of your work. What did you do?
- Tell me about a project where quality assurance 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, Software Engineering, and Quality Assurance. 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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