About the job
We are looking for an outstanding technical leader to help develop the next generation of NVIDIA AI supercomputing systems. This leader will play a crucial role in the development and validation of AI computing systems at scale. They will lead all aspects of a group responsible for early deployments of new NVIDIA compute and networking technologies, as well as working closely with external partners to plan at-scale deployments. Be a key player to enable the most exciting supercomputing systems and contribute to the latest breakthroughs in artificial intelligence and GPU computing. Collaborate with top experts in the field to invent new supercomputing architectures for machine learning and HPC. Work in a fast-paced, remote-friendly environment with teammates in many different locations around the world.
Responsibilities
Lead a team developing next generation system designs and integrating new compute, networking, storage, and software systems
Build and support a platform for software development, systems automation, and performance engineering
Develop tooling and documentation to support the development of large-scale supercomputing systems for AI and HPC both inside and outside NVIDIA
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
Qualifications
Minimum
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
Creative problem-solver with excellent teamwork and collaboration skills
Ability to work as part of a large, diverse team in a remote-friendly environment
Preferred
Experience leading teams building HPC compute and storage systems in a research environment at large scale
Well-developed knowledge of deep learning applications, including multi-GPU and multi-node training and inference workloads
Expertise with high-performance datacenter networking such as InfiniBand and RoCE
Expertise with open-source monitoring technologies such as Prometheus and Grafana
Have a proven track record of growing and managing a team that encourages idea sharing, empowers team members, and provides opportunities for professional growth