NVIDIA is developing processor and system architectures that accelerate deep learning on edge devices, workstations, and data center GPUs for a variety of applications including automotive, robotics, large language models and AI generative models. We are looking for an expert deep learning system performance architect to join our deep learning modelling, performance optimization, projections, and analysis effort. In this position, you will have the chance to optimize deep learning hardware and software architecture and make the significant impact in a dynamic technology focused company.
What you’ll be doing
Benchmark and analyze performance of various machine learning/deep learning algorithms on different GPU/NPU architectures
Develop performance models and provide performance projections for deep learning workloads on different architectures
Identify architecture, software and system performance bottlenecks and propose optimizations
Explore new features and hardware capabilities on deep learning applications
What we need to see
BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,)
Be familiar with GPU or Accelerator-based deep learning platform and software stack
A strong background in computer architecture
Be familiar with LLM or generative AI deep learning algorithms and kernel optimizations
Experience in system architecture design and performance optimization
Familiar with machine learning and deep learning frameworks
