Staff Engineer, Command Center Insights & Actions

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.

We are looking for a Staff Engineer to be the detection authority for Crusoe’s Command Center platform—the person who owns what “something is wrong” means. You will define the heuristics, thresholds, and rules that power our alerting and anomaly detection systems, translating raw infrastructure telemetry into precise, actionable signals.

This is a full software engineering role. You will ship customer-facing features, build systems from 0 to 1, and scale existing services alongside a team of strong generalist engineers. What sets you apart is deep expertise in anomaly detection, heuristics, and machine/reinforcement learning—applied to real infrastructure at global scale. Beyond your technical contributions, you will be a cultural bar-raiser and force multiplier: someone who elevates the entire team’s craft.

You will report to the Engineering Manager of the CCIA team and operate as a peer to the Distributed Systems Staff Engineer on the team.

• Experience with GPU profiling tools (Nsight, NCCL Inspector) or hardware-level infrastructure diagnostics.

• Background in observability platforms or products.

• Experience with reinforcement learning applied to operational or infrastructure problems.

• Familiarity with large-scale fleet management or cloud infrastructure.

• Passion for building team culture and engineering quality of life.