Lead a team developing next generation system designs and integrating new compute, networking, storage, and software systems
Work closely with teams throughout the company on the cluster architecture, at-scale bringup, and integration of new technologies and products
Collaborate closely with partners and customers to support deployment and validation of clusters based on NVIDIA reference architectures
Requirements
BS (Masters or PhD preferred) in Applied Science or Engineering (or equivalent experience)
8+ overall years experience of experience in the high-performance computing or machine learning fields, including 3+ years of technical leadership experience
Proven ability to lead high-performing engineering teams, especially across distributed groups with diverse expertise
Proficiency in software development and system automation with languages such as Go, Python, or Ansible
Ability to work as part of a large, diverse team in a remote-friendly environment