The opportunity
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.
What you'll do
Core Responsibilities: Design, build, and operate greenfield distributed services, control planes, and closed-loop remediation systems that automatically drain, checkpoint, replace, and resume live AI workloads without manual intervention.
Communication & Collaboration: Partner closely with staff and principal engineers to review architectures, establish safety rails for autonomous operations, and share technical knowledge across the cloud services team.
Daily Interactions: Collaborate daily with cross-functional partners spanning hardware engineering, energy management, data center construction, and customer support to align system design with physical infrastructure.
Key Contributions: Own the development of core platform features such as unified observability pipelines, energy-aware compute scheduling, straggler detection, and self-qualifying hardware pipelines to maximize overall system goodput.
Production Systems Experience: Minimum of 2+ years of experience building, shipping, and operating backend or infrastructure systems in production (e.g., distributed services, control planes, schedulers, or observability pipelines).
Distributed Systems Foundations: Demonstrated mastery of state reconciliation, retries and idempotency, consistency tradeoffs, and autonomous automation on live infrastructure.
What they're looking for
- Systems Programming Proficiency: Strong engineering fundamentals using a modern systems language such as Go, Rust, or C++.
- Problem-Solving & Ownership: High comfort level working through ambiguous problem statements, proposing clear designs, and driving features from concept to production.
- Shipping Mindset: A strong bias toward action and iterative delivery, favoring practical production software over over-engineered documentation.
- Educational Background: Bachelor's degree or equivalent practical experience in Computer Science, Engineering, or a related technical discipline.
