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NVIDIA is seeking a Senior GPU Architect specializing in Deep Learning to define and drive future GPU architectures for AI workloads. This role involves conceptualizing architectural features, contributing to microarchitectural direction, and collaborating across teams to bring new capabilities from concept to silicon readiness. The ideal candidate will have 12+ years of experience in GPU or computer architecture, strong programming skills in C/C++/Python, and experience with architectural modeling and performance analysis.
We are now looking for a Senior GPU Architect, Deep Learning! The NVIDIA GPU Architecture group is looking for a world class hardware architect to help define and drive future GPU architectures for deep learning and accelerated computing. In this role, you will work at the earliest stages of product definition, with primary focus on defining architectural features for future GPUs, while also contributing to relevant microarchitectural direction and tradeoffs. You will help drive new capabilities from concept through modeling, design collaboration, validation, and silicon readiness.
A key part of NVIDIA’s strength is our ability to translate workload insight into differentiated hardware. We are constantly looking for ways to improve our GPU architecture for training and inference workloads while advancing performance, efficiency, scalability, and programmability. In this position, you will focus primarily on defining new architectural features, while also shaping the supporting microarchitectural direction, evaluating design alternatives, and partnering closely with ASIC design, verification, performance, and software teams to bring new capabilities into future products.
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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. If you're creative, autonomous, and love a challenge, consider joining our GPU Architecture team and help us build the next generation of AI computing platforms.