Deep Learning Performance Architect Full-time

NVIDIA is developing processor and system architectures that accelerate deep learning and high-performance computing applications. We are looking for an expert deep learning system performance architect to join our AI performance projection and analysis efforts. In this position, you will have a chance to work on performance projection, analysis, and optimization on state-of-the-art hardware architectures for various AI workloads. You will make your contributions to our dynamic technology focused company.

What you’ll be doing:

• Analyze state-of-the-art AI models on various GPU hardware platforms (e.g., Automotive, Client (Desktop/Laptop) platforms and SoCs)
• Identify performance bottlenecks and propose optimizations

What we need to see:

• BS, MS or PhD in relevant discipline (CS, EE, Math, etc.) or equivalent experience.
• 5+ years work experience.
• Experience with popular AI models (e.g., LLM and AIGC models, Automotive DL models)
• Be familiar with typical deep learning SW framework (e.g., Torch/JAX/TensorFlow/TensorRT)
• Knowledge and experience on hardware architectures for deep learning applications

With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you’re a creative and autonomous engineer with a real passion for technology, we want to hear from you! 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.

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