C
$160,000 – $195,000
Listed on Crusoe’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Crusoe seeks someone to optimize the allocation and utilization of their GPU compute fleet across data centers, balancing customer demand with physical infrastructure constraints. This role is ideal for someone with cloud infrastructure experience who enjoys solving complex resource-scheduling problems at scale.
Our summary, not Crusoe’s wording. The full posting is on their site.
Skills this role names
Log in to see which of these are already on your profile.
What they ask for
Required
- 3+ years of capacity planning, technical product management, or systems engineering experience
- Experience in a hyperscaler cloud environment or large-scale AI compute infrastructure
- Understanding of GPU topologies and accelerated compute architectures
- Ability to communicate infrastructure constraints to business stakeholders
- Bachelor's degree in Computer Engineering, Computer Science, Operations Research, Industrial Engineering, Data Science, or equivalent quantitative field
Nice to have
- Deep knowledge of distributed AI training frameworks
- Experience with multi-tenant cloud storage dynamics
- Passion for green energy and environmental sustainability