Crusoe
Senior Director, Fleet Management
$325K–$370K
San Francisco, CA - US +1 · On-site · Director · Full-time · Posted Oct 19, 2026
- Location
- San Francisco, CA - US
Sunnyvale, CA - US - Experience
- 18+ years in infrastructure, data center operations, or fleet management, including 6+ years in a senior leadership role.
- Education
- Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent practical experience.
About the job
Leads the engineering and operations teams responsible for scaling Crusoe’s GPU and data center fleet, improving reliability, automation, security, and deployment performance.
What you'll do
- Lead fleet operations, infrastructure deployments, fleet-health metrics, and reliability and incident processes.
- Build and oversee firmware qualification, validation platforms, lifecycle automation, hardware security, and data center infrastructure operations.
- Manage team development, vendor relationships, fleet budgets, procurement, and executive reporting.
What they ask for
- 18+ years of experience in infrastructure, data center operations, or fleet management, including 6+ years in a senior leadership role.
- Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent practical experience.
- Deep hands-on expertise with GPU infrastructure, including NVIDIA or AMD accelerator platforms.
- Experience operating or scaling data center infrastructure in a high-growth environment; ability to manage vendor relationships, negotiate large-scale infrastructure contracts ($50M+), and own large CapEx budgets.
Nice to have
- Prior experience at a neocloud or AI infrastructure company, with familiarity with GPU failure modes and auto-remediation.
- Hands-on experience with firmware qualification, BMC/OpenBMC development, or hardware attestation.
Pay
up to $325,000 - $370,000 USD base salary; bonus amount not stated; Restricted Stock Units included in all offers
Tools
NVIDIA, AMD, OpenBMC, TPM, InfiniBand, RoCE, NetBox, Temporal
AI focus
Operates and scales GPU infrastructure powering AI workloads, including inference and training fleet reliability and automation.
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