ApplySarthi

Accelerated Computing Research Intern

Nvidia

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18 open accelerated roles across 5 companies are on ApplySarthi right now.

What accelerated roles keep asking for: Machine learning (39%), C++ (33%), Product management (33%), Python (28%), Java (17%), LLMs (17%) — counted across their open postings here.

C++ jobs · Linux jobs · Python jobs

Nvidia has 3,132 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for accelerated roles keep coming back to Machine learning, C++, Product management, Python. Practise those questions before you sit with Nvidia.

Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with C++? Tell me one thing you learned the hard way.
  3. Tell me about a problem you solved at work that you are proud of.
  4. Tell me about a time you disagreed with your manager. What happened?
  5. Where do you want to be in three years?

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NVIDIA is searching for a MSc/PhD candidate to join our growing software architecture team. The ideal candidate will be conducting innovative research at the intersection of Networking, Security, and Communications, and working alongside top authorities in these fields. With incredible resources at your disposal, you will be able to impact, contribute and advance these exiting domains. Topics include but are not limited to remote direct memory access, hardware offloading and acceleration, AI for networking and security, storage management, cryptography, and architecture. With its unique open culture, NVIDIA is one of the best industry labs to do Accelerated Computing research. DPU Data-Processing Units are the smallest form of a data center, and provide the foundation to implement accelerated computing, where both processing and networking experience a performance boost through the utilization of dedicated processors. DPUs started out as the engine for accelerated networking, but now they can run AI inference and training on-board, deep packet inspection and cryptography accelerations among others thanks to onboard GPUs and acceleration engines. Join us to research next-generation accelerated data-center architectures in a unique internship with NVIDIA partnership. What you’ll be doing : Be at the forefront of modern data center research Partner and collaborate with forward-thinking industry leaders and external researchers Participate and speak at conferences and events Publish original research Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components What we need to see: Pursuing a PhD or a MSc Degree in Electrical Engineering, Computer Science or Computer Engineering General computer science background, preferably in algorithm design, system programming, networking, operating system, and computer architecture. Strong programming (C/C++/Python) and software development skills Low-level Linux Good communications 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 hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Networking Research Team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

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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.