Manager, Next-Gen AI Cluster Validation

What You'll Be Doing

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

What We Need To See

• 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
• Able to work as part of a large, diverse team in a remote-friendly environment

Ways To Stand Out From The Crowd

• 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
• Proven track record of growing and managing a team that encourages idea sharing, empowers team members, and provides opportunities for professional growth