NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding legacy of innovation that's fueled by great technology—and outstanding 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, encouraging environment where everyone is motivated to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is seeking a network security research architect who is interested in a chance to define, research, and implement next-generation security features for data centers’ networks. The position will take on a lead role, working with teams with varied strengths across NVIDIA and with external partners to research security requirements for networking products.
What you'll be doing:
- Lead, research, design, develop, and implement solutions for securing networks and identifying threats and incidents in the network.
- Apply innovative security primitives to enable secure platforms.
- Collaborate across external and internal hardware and software research teams.
- Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing proof-of-concepts secure platforms.
- Research network telemetry for supporting secure networking platforms’ confidentiality, integrity, and availability.
What we need to see:
- MSc or PhD in Electrical Engineering, Computer Science, or Computer Engineering or equivalent experience.
- At least 5 years of experience.
- Background in data center network protocols, threat modeling, and network security, as well as common mitigation techniques.
- Programming and debugging fundamentals across languages such as Python, and C/C++.
- Strong communication skills and a genuine passion for working together as a team are vital.
Ways to stand out from the crowd:
- Proven security research experience and publications in top security conferences.
- Experience with high-scale deployment challenges, RDMA networking, and machine learning.
- Architectural background in hardware and software systems codesign.
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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.”
