The role involves managing the full lifecycle of accelerator capacity, including ingestion, provisioning, and scaling of compute clusters. The individual will design and operate systems to detect, isolate, and remediate hardware issues to maintain fleet health. Responsibilities include defining infrastructure architecture and collaborating with cloud providers and internal teams to shape long-term compute strategies. The position requires establishing operational excellence practices such as incident response and postmortem culture. Additionally, the role involves providing technical mentorship and coaching to support the growth of other engineers.

Candidates must possess deep expertise in distributed systems, reliability, and cloud platforms, along with proficiency in systems languages such as Rust, Go, or Python. Experience with machine learning accelerators and infrastructure as code tools like Terraform is required. A track record of leading complex technical initiatives and the ability to build alignment across stakeholders are necessary. A bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field is required.