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.

• 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: 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.Applications for this job will be accepted at least until August 5, 2025.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.