Staff Engineer (Customer Insights & Alerts)

Join Crusoe, a company at the forefront of advancing AI strategies and sustainable energy solutions. As a Staff Engineer, you will be the detection authority for Crusoe's Command Center platform, defining heuristics, thresholds, and rules for alerting and anomaly detection systems. You will work closely with product counterparts and the data science team, participate in design discussions, and mentor engineers at all levels. This is a full software engineering role with opportunities for growth and impact.

- 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
- Distributed Systems Fundamentals: Strong foundations in the building blocks of reliable, scalable backend systems—you can hold your own in any system design conversation
- Anomaly Detection & Heuristics Expertise: Deep experience building anomaly detection systems, heuristics-based rule engines, or ML/RL systems for infrastructure or data-intensive domains
- Threshold & Signal Calibration: Demonstrated ability to reason about precision/recall trade-offs and build feedback loops that keep detection systems accurate over time
- Force Multiplier Mindset: You make the team better—through mentorship, clear technical vision, and a genuine investment in the people around you
- Communication: You can explain detection logic, trade-offs, and system behavior clearly to both engineers and non-technical partners
- Data & Observability Fluency: Comfortable with time-series data, telemetry pipelines, and observability primitives—you understand how raw metrics become actionable insights
- Full Software Engineering Craft: 5+ years shipping production software; experience with modern compiled or systems languages (Go, Rust, C++, Java, or similar)
- Experience with GPU profiling tools (Nsight, NCCL Inspector) or hardware-level infrastructure diagnostics
- Experience with reinforcement learning applied to operational or infrastructure problems
- Background in observability platforms or products
- Familiarity with large-scale fleet management or cloud infrastructure
- Passion for building team culture and engineering quality of life