Job Summary
This role is centered around managing long-term forecasting and resource allocation for machine learning hardware, specifically TPUs and GPUs, to facilitate scaling efforts. The position involves collaboration with research and engineering teams to enhance fleet utilization, ensure hardware readiness, and maximize workload efficiency across computing clusters.
Responsibilities
- Drive forecasting and resource allocation for machine learning hardware over multiple quarters.
- Collaborate with engineering and research teams to improve fleet occupancy and hardware accessibility.
- Optimize performance of workloads across compute clusters.
Qualifications
- Bachelor’s degree in a technical discipline.
- A minimum of 2 years of experience in program management.
- Preferred expertise in ML infrastructure operations and capacity planning.
- Proficiency in SQL and Python is advantageous.
