Research Scientist
Nvidia
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2,561 open scientist roles across 382 companies are on ApplySarthi right now, most of them in Bengaluru (142), Hyderabad (77), Delhi NCR (29).
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What scientist roles keep asking for: Python (62%), Machine learning (51%), SQL (29%), LLMs (19%), R (18%), Deep learning (18%), C++ (18%), Generative AI (15%) — counted across their open postings here.
Remote Research Scientist jobs · C++ jobs · Computer vision jobs · Generative AI jobs · LLMs jobs
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, LLMs. 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 Generative AI? Tell me one thing you learned the hard way.
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
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Practise the Research Scientist at Nvidia interview free →NVIDIA is searching for outstanding AI researchers to join the NVIDIA Research Singapore team. We are dedicated to the development and optimization of GPU-accelerated efficient AI computing, covering language model, visual generation, and robotics. We focuses on pushing the boundaries of generative AI by designing models that are not only powerful but also efficient in terms of computational resources. You will be part of an amazing collaborative research team that consistently publishes at the top venues in machine learning, robotics and computer vision. Your contributions have the chance to create real impact on our products. What you'll be doing: Research, design and accelerate novel generative AI models Publish original research Collaborate with other team members and teams Mentor interns Speak at conferences and events Transfer technology to product groups Collaborate with external researchers What we need to see: Excellent knowledge of LLM and foundation models Publication at leading conferences (ie. CVPR, ICML, ICLR, ICCV, NeurIPS, etc) 2 years of experience. Bachelor, master, or PhD degree in computer science or electrical engineering with strong research track records. Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus Knowledge of common machine learning frameworks, such as PyTorch Excellent communication skills NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. Looking forward to hear from you.
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Listed on workday · posted 2026-09-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.