Senior Deep Learning Performance Architect

Senior Deep Learning Performance Architect

We are looking for a Senior Deep Learning Performance Architect to 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.
• Ability to simplify and communicate rich technical concepts to non-technical audience.
• Have a curious demeanor with excellent problem-solving skills.

NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. The base salary range is $184,000 - $287,500.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.