Senior Staff Data Center Operations Engineer (GPU Hardware Architecture)

Join Crusoe Energy, a leading company in the energy and technology sector. As a Senior Staff Data Center Operations Engineer, you will be the definitive technical authority on GPU platforms within the Data Center Engineering and Operations organization. Your mission will involve acting as the primary technical consultant to the Data Center Engineering team, providing specialized tooling and strategies for the Operations team, and defining technical sparing requirements for sourcing. You will also provide deep-dive technical guidance, leverage AI/ML methodologies for predictive operations, and act as the Tier-3 escalation point for complex hardware failures.

• Act as the primary technical consultant to the Data Center Engineering team, ensuring future facilities are built for next-gen silicon.
• Develop specialized tooling, SOPs, and predictive strategies needed to maintain peak cluster health for the Operations team.
• Architect the site-level sparing strategy from a technical perspective, defining the "Critical Spares List" and stocking levels required at each site.

• We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services
• The "Consultant" Mindset: Proven track record of educating and influencing cross-functional teams (specifically Engineering and Operations)
• Silicon & Fabric Mastery: Expert-level knowledge of NVIDIA (Hopper/Blackwell/Rubin) and AMD (Instinct) architectures. Mastery of the physical and logical layers of NVLink, NVSwitch, and InfiniBand
• Thermal Management: Deep understanding of the operational realities of Direct-to-Chip (D2C) cooling, including fluid dynamics, pressure-drop curves, and the lifecycle of dripless couplings
• Education: B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related technical field
• Data-Driven Diagnostics: Proficient in Python, Go, or Bash to build telemetry and health-check tools (utilizing DCGM and ROCm). Experience using large datasets or basic ML frameworks to build "Smart Monitoring" that filters critical health signals from noise
• Operational Reliability Analysis: Experience using failure telemetry to inform site-level sparing requirements and field-service workflows
• 10+ years in Hardware Engineering, Systems Architecture, or Data Center Infrastructure
• Infrastructure Bridge-Building: Ability to translate "Silicon Data Sheets" into "Mechanical Engineering Requirements." You can explain how a GPU's specific heat-load profile affects CDU sizing and secondary loop design
• GPU Authority: You have managed or architected GPU clusters at scale (thousands of nodes) at a hyperscaler, a GPU-specialized cloud, or a major silicon vendor