Senior Deep Learning Performance Architect

We are now looking for a Senior Deep Learning Performance Architect!

NVIDIA is seeking outstanding Performance Analysis Architects to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.

What you'll be doing:

• Develop innovative HW architectures to extend the state of the art in parallel computing performance, energy efficiency and programmability.

• Benchmark and analyze AI workloads in single and multi-node configurations.

• Develop high level simulator and analysis tools in C++/Python.

• Evaluate PPA (performance, power, area) for hardware features and system-level architectural trade-offs.

• Work closely with peer architecture teams and product management to guide development of the products.

• Keep abreast with emerging trends and research in deep learning.

What we need to see:

• MS or PhD in a relevant discipline (Computer Science, Electrical Engineering, Computer Engineering, etc) or equivalent experience.

• 4+ years of experience in parallel computing architectures, interconnect fabrics and deep learning applications.

• Background in GPU or Deep Learning ASIC architecture evaluation for training and/or inference.

• Strong programming skills in Python and C++.

Ways to stand out from the crowd:

• Solid fundamental knowledge in computer architecture and interconnect fabrics.

• Understanding of modern transformer-based model architectures....