Principal AI Hardware Architect

NVIDIA is a world-leader fast-growing company which supports the most powerful supercomputers in the world, specifically our networking products are first in class and enable the connectivity of thousands of GPU's. We make outstanding artificial intelligence happen by groundbreaking integration of networking and computing. We believe in our people and seek excellent people to join us! We are looking to an innovative, interpenetrate AI HW expert to help us raise the barrier in the new area of computing.

We are in need of a hardware u/architect for our networking division who can use AI to enhance hardware and advance new AI accelerators. Joining an exceptional team, you will play a crucial role in defining the architecture of NVIDIA’s upcoming AI network accelerations and enhancing networking devices. Your responsibilities will involve collaborating with architecture teams, ASIC teams, software teams, and other relevant teams to influence Nvidia's networking products.

What you'll be doing:

• Get familiarized with Nic and switch micro architecture and drive ideas to improve hardware using AI techniques.

• Work with research and architecture teams to explore ideas for in network hardware accelerators for improving AI workloads.

• Analyze AI applications and drive new insights for networking accelerators.

• Prototype through simulation or hardware different approaches.
   

What we need to see:

• B.S or MS. in Electrical Engineering or equivalent experience

• More than 15 years of experience in ASIC development

• Deep understanding on AI applications

• Vast experience in AI related Verilog/VHDL AI design patterns as floating points optimizations, tensor processing, convolutional neural network

• Strong analytic capabilities, and passion for solving logical issues

• Ability to drive sophisticated activities involving many interfaces and teams
   

Ways to stand out from the crowd:

• Proven experience in driving innovation and new technologies

• Experience in networking HW implementation & protocols, on top of being an AI expert

• Familiar with working on large high-end ASICs.