Test Development Software Engineering Intern - 2027
Nvidia
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6,434 open development roles across 663 companies are on ApplySarthi right now, most of them in Bengaluru (367), Hyderabad (160), Delhi NCR (82).
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What development roles keep asking for: Java (18%), AWS (16%), C++ (15%), Python (14%), C# (13%) — counted across their open postings here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for development roles keep coming back to Java, AWS, C++, Python. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with Docker? Tell me one thing you learned the hard way.
- What do you do when a developer says a bug is not a bug?
- How do you decide what to test when time is short?
- Tell me about a serious bug you caught before release. How did you find it?
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Practise the Test Development Software Engineering Intern - 2027 at Nvidia interview free →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.
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Listed on workday · posted 2026-10-12. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.