Description
Do you want to influence the development of high-performance Datacenters designed for the future of AI? As a Senior Deep Learning Systems Engineer, you will play a central role in analyzing the performance and power consumption of deep learning applications on datacenter-class hardware and significantly influencing the design and optimization of datacenters.
In this role, you will help develop software infrastructure to characterize and analyze a broad range of Deep Learning applications, evolve cost-efficient datacenter architectures tailored to meet the needs of Large Language Models (LLMs), and work with experts to develop analysis and profiling tools in Python, bash, and C++ to measure key performance metrics of DL workloads running on Nvidia systems.
We are looking for a highly skilled engineer with a deep understanding of computer system architecture and performance analysis, as well as experience in system software, operating systems, compilers, GPU kernels, and DL frameworks. You should have demonstrated hands-on experience in these domains and be able to work in virtual environments.
If you're creative and autonomous, and have a strong drive to own tasks from beginning to end, we want to hear from you!