About This RoleWe 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
CompensationCompensation 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.
