Senior Deep Learning Systems Engineer, Datacenters

Analyze the performance and power consumption of deep learning workloads on datacenter-class hardware to guide design and optimization.
Develop software infrastructure to characterize and analyze a broad range of DL applications.
Evolve cost-efficient datacenter architectures to meet the needs of large language models and other DL workloads.
Create analysis and profiling tools in Python, Bash, and C++ to measure key metrics on modern datacenter hardware.
Show a deep understanding of computer system architecture and performance modeling, owning tasks from start to finish.
Collaborate with cross-functional teams in hybrid environments, leveraging containerization and workload managers as needed.