JR1998088
Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Today, visual computing is a crucial tool in helping people get along with technology, and NVIDIA has extended its technology into datacenters, mobile devices and cars. There has never been a more exciting time to join our team - if this role sounds like a fit for you, we'd love to hear from you!
NVIDIA is seeking a Senior Performance Analysis Engineer to join our Performance group. In this exciting role, you will profile and analyze AI workloads on large GPUs and CPUs scale clusters for distributed Deep Learning LLM training focused on collectives communication and networking. You will interact with many types of hardware and platforms, such as HCAs, Switches, CPUs, GPUs, and Systems. You will develop performance analysis tools and methodologies to dive deeply into the details and understand performance expectations, limitations, and bottlenecks.
What you'll be doing:
Exploring and researching AI workloads and DL models specifically tailored for large-scale deep learning LLM training on NVIDIA supercomputers and distributed systems focusing on high-performance networking and Nvidia Collective Communications Library (NCCL).
Benchmarking, Profiling, and Analyzing the performance to find bottlenecks and identify areas of improvement and optimizations, with a strong emphasis on networking aspects.
Implementing performance analysis tools.
Collaborating with many teams from hardware to software to provide performance analysis insights.
Defining performance test planning , setting performance expectations for new technologies and solutions, and working to reach the performance targets limits.
