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Software Engineering Intern, Deep Learning - 2027

Nvidia

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What engineering roles keep asking for: AWS (21%), Python (20%), Observability (14%), System design (13%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with Deep learning? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? We are now hiring software engineers for our China TSE Deep Learning team. Join our China TSE Deep Learning solution team and help build the cutting-edge, high-performance deep learning solutions driving our success in this exciting and quickly growing field. What you'll be doing: Work on research, design and implementation of software features that are beneficial to our customers to meet their performance targets and build unique values VLA (Vision Language Action) and autonomous driving related development and bug fixes Develop solutions for DNN models acceleration optimization and deployment. What we need to see: Subject to arrangement to different works at any time to take on different tasks and challenges Self-motivated attitude and motivation to make things success, intent to learn Pursuing BS/MS degree in Computer Science/EE or related Proven fundamentals in c++/python programming and SW design and debug skills Abundant knowledge of ML/DL techniques for Computer Vision and autonomous driving Believe that experimenting is the only way to find the truth, not argument and arbitrary guess Located in Shanghai/Shenzhen or willing to work in Shanghai/Shenzhen Ways to stand out from the crowd: DNN development and network acceleration is highly desired Familiarity with GPU computing/NVIDIA CUDA/NVIDIA TensorRT NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you! 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. #deeplearning

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Listed on workday · posted 2026-10-13. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.