Test Development Software Engineering Intern - 2027
NVIDIA is hiring a Test Development Software Engineering Intern - 2027 in Shanghai, China. Level rates it ; you can apply on Level.
AI in this role
Design automated test cases and infrastructure for enterprise AI offerings like NIM, NeMo, and BioNeMo as a test development intern.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you’ll be doing:
Be responsible for executing test cases to validate NVIDIA enterprise offerings, such as NIM/NeMo/BioNeMo.
Design, implement, and maintain automated test cases and the supporting automation infrastructure.
Collaborate with development teams to triage issues, perform root cause analysis, verify fixes, define additional tests, and enhance test plans.
Investigate and leverage AI capabilities to accelerate the Quality Assurance (QA) process.
What we need to see:
MS from a leading university in CS, EE, CE, or a related field
Fluent oral and written English
Comfortable working in a Linux environment
Strong Shell and Python programming skills
Solid QA sense, with knowledge of and experience in software testing
Ability to use AI development tools to improve quality and productivity across the QA end-to-end workflow
Strong problem-solving skills
Strong interpersonal skills; a quick learner who is proactive, innovative, and committed
Self-motivated, with a passion for learning new hardcore technologies
Knowledge in LLM and AI models is a plus
Ability to work full-time, on-site five days per week, for one year.
Ways to stand out from the crowd:
Experience working with NVIDIA GPU hardware is a strong plus
Background in parallel programming ideally is a plus
Experience with virtualization technologies like Docker, Kubernetes, Openstack
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
How we rate this
Test Development Software Engineering Intern - 2027 at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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
- Tell me about a project where software testing was part of your work. What did you do?
- Tell me about a project where qa was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where llm was part of your work. What did you do?
- Tell me about a project where ai models was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Software Testing, Qa, Automation, LLM, and AI Models. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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