Responsibilities:

• Lead build out of industry-leading AI clusters (thousands to hundreds of thousands of machines), partnering closely with cloud service providers on cluster build out and required features
• Consult with different stakeholders to deeply understand infrastructure and compute needs, identifying potential solutions to support frontier research and product development
• Set technical strategy and oversee development of high scale, reliable infrastructure systems
• Mentor top technical talent
• Design processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice

You may be a good fit if you:

• 8 industry experience, as well as 3 years of experience leading large scale, complex projects or teams as an engineer or tech lead
• Are obsessed with infrastructure reliability, scalability, security, and continuous improvement
• Have a passion for supporting internal partners like research to understand their needs
• Have excellent communication skills to build consensus with stakeholders, both internally and externally
• Possess deep knowledge of modern cloud infrastructure including Kubernetes, Infrastructure as Code, AWS, and GCP

Strong candidates may also:

• Have security and privacy best practice expertise
• Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL
• Low level systems experience, for example linux kernel tuning and eBPF 
• Technical expertise: Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems

Deadline to apply: None. Applications will be reviewed on a rolling basis.