Staff Software Engineer, CAPE

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-sollving, 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. About This Role We are seeking a Staff Software Engineer to architect, design, and develop the intelligence layer that controls how every GPU node in Crusoe's fleet gets assigned, monetized, and managed. You would be one of the first engineers on both the Virtual Pool Service and Capacity Management Intelligence systems, shaping implementation, making real design decisions, and building the foundational infrastructure that Crusoe's entire cloud platform depends on. You'll play a crucial role in delivering end-to-end use cases and workflows for a vertically integrated, AI-first cloud while driving key business revenue metrics at scale. What You'll Be Working On Building the Virtual Pool Service (VP Service), a physical infrastructure classification layer that serves as the single source of truth for every GPU node's state, pool membership, and transition history across Crusoe's fleet Designing and implementing Capacity Management Intelligence (CMI), the automation layer that handles priority-descending allocation, forward availability forecasting, and automated node lifecycle transitions — replacing manual spreadsheet workflows with enforced, auditable, event-driven automation Collaborating extensively across teams to architect and implement physical infrastructure management systems, availability platforms, and frameworks that meet end-to-end customer use cases Championing reliability, scalability, and security of our systems, designing high-performing, highly available cloud architectures optimized for both performance and cost-effectiveness Streamlining cloud deployment, configuration management, and operations using Go, gRPC, NATS event streaming, PostgreSQL (CNPG on Kubernetes), and Netbox as the physical source of truth Mentoring fellow engineers and actively contributing to team growth in collaboration with engineering managers What You'll Bring to the Team A Bachelor's degree in Computer Science or Software Engineering 10+ years of relevant experience building and operating distributed systems at scale Proven experience building reliable, scalable, and secure cloud platforms and running them in production Strong distributed systems thinking with the ability to reason about consistency, failure modes, event ordering, and correctness invariants Fluency in Go, Rust, Java, or C++; Go is our primary language, but strong engineers from other backgrounds ramp quickly A collaborative, platform-minded approach to building robust systems and driving adoption across dev and ops teams Ownership mentality with comfort owning a system end to end: design, implementation, testing, ops, and iteration Good judgment under ambiguity, with the ability to drive open-ended technical decisions to resolution Excellent communication and troubleshooting skills across cross-functional teams Bonus Points Hands‑on experience deploying, managing, and troubleshooting Kubernetes clusters Prior experience with event‑driven architectures or message streaming systems (NATS, Kafka, Kinesis) Experience with capacity planning, resource scheduling, or fleet management systems Background in GPU compute, AI/ML platform infrastructure, or fast‑paced startup environments A passion for sustainability, clean energy, and building AI infrastructure that scales responsibly Benefits Industry competitive pay Restricted Stock Units in a fast growing, well‑funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short‑term and long‑term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation Compensation will be paid in the range of $209,000 - $253,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. 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. #J-18808-Ljbffr Crusoe