Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. 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. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. ###
Key Responsibilities
Engineering Education & Design Support: Provide deep-dive technical guidance to the Data Center Engineering team on upcoming silicon (e.g., NVIDIA Blackwell/Rubin, AMD MI350/400). Ensure future facility designs for power, cooling, and rack-spacing are ready for 2000W+ per-chip densities. - Predictive Operations & Telemetry: Leverage AI/ML methodologies to analyze fleet-wide telemetry (power draws, thermal gradients, and error rates). You will lead the transition from reactive troubleshooting to predictive maintenance, identifying "pre-failure" patterns in HBM or NVLink components before they impact customer training runs. - Technical Sparing Architecture: Architect the site-level sparing strategy from a technical perspective. Use failure telemetry and MTBF data to define the "Critical Spares List" and stocking levels required at each site to meet cluster uptime targets, providing these requirements to Sourcing for execution. - Operational Tooling & SOPs: Build the "Operational Blueprint" for the field. Create precision SOPs for high-stakes GPU repairs (e.g., baseboard swaps, manifold maintenance) and develop diagnostic tooling that allows Site Ops to identify NVLink flapping, PCIe degradations, or thermal throttling. - Advanced Troubleshooting & RCA: Act as the Tier-3 escalation point for the most complex hardware failures in the production environment. Lead Root Cause Analysis (RCA) on systemic issues that span the boundary between hardware and facility environmental factors. - Silicon Roadmap Authority: Maintain a 24-month forward-looking view of NVIDIA and AMD architectures. Educate internal stakeholders on how transitions in HBM4, interconnect speeds, and liquid-cooling will impact Crusoe’s physical infrastructure. - Vendor & VAR Technical Lead: Support the technical relationship with OEMs and VARs. Audit their hardware builds, review their technical bulletins, and ensure their hardware roadmaps align with Crusoe’s operational and engineering standards. ### Technical Requirements
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.
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. - 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. - 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. ### Qualifications
10+ years in Hardware Engineering, Systems Architecture, or Data Center Infrastructure. - The "Consultant" Mindset: Proven track record of educating and influencing cross-functional teams (specifically Engineering and Operations). - 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. Education: B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related technical field. Benefits:
Competitive compensation
Restricted Stock Units
Paid time off & paid holidays
Comprehensive health, dental & vision insurance
Employer contributions to HSA account
Paid parental leave
Paid life insurance, short-term and long-term disability
Professional development & tuition reimbursement
Mental health & wellness support
Commuter benefits (parking & transit)
Cell phone stipend
401(k) Retirement plan with company match up to 4% of salary
Volunteer time off
Compensation Range
Compensation will be paid in the range of up to $179,000 -$218,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
