NVIDIA is searching for world-class Scientist interns to join our growing software architecture Research team. The ideal candidate will be conducting cutting-edge research at the intersection of Networking, Security, and Communications, and working alongside top experts in these fields. With incredible resources in networking, you will be able to impact, contribute and advance these domains for scalable accelerated computing. Topics include but are not limited to remote direct memory access, hardware offloading and hardware acceleration, distributed accelerator networks, AI for networking and security, storage management, cryptography accelerators and architecture. With its unique open culture, NVIDIA is one of the best industry labs to do Accelerated Computing research.
What you’ll be doing:
- Develop novel HW architecture models
- Simulations ranging from specific components to complete data center environments
- Develop SDKs for novel HW capabilities
- Designing and implementing services, runtime systems, and applications over SDK
- Evaluate and optimize application performance
- Partner and collaborate with other forward-thinking team members and external researchers
- Participate and speak at conferences and events
- Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components
What we need to see:
- Hold a B.Sc. or M.Sc. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience).
- 0-2 years of industry experience (or equivalent) in systems architecture or related fields.
- Knowledge in networking, operating systems, accelerator programming, and systems
- Track record of research excellence
- 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 Software Architecture Team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
Top Skills
What We Do
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, NVIDIA is increasingly known as “the AI computing company.”
