Staff Engineer (Customer Insights & Alerts)

• We are looking for a Staff Engineer to be a core contributor to detection across Crusoe’s platform, collaborating with the Fleet, CMK, and Data teams. You will own the correlation, deduplication, and lifecycle logic that turns detector signals into customer-facing insights, while contributing core detection logic to strengthen the platform
• This is a full software engineering role where you will ship customer-facing features, build systems from scratch, and scale existing services alongside a team of strong generalist engineers
• Beyond your technical contributions, you will be a cultural bar-raiser and force multiplier who elevates the entire team’s craft
• You will report to the Engineering Manager of the CIA team
• Detection & Intelligence Ownership: Own correlation and deduplication logic. Build heuristics for thresholds, grouping rules, and severity scoring to generate precise, customer-facing insights
• Anomaly Detection Pipelines: Partner with the Data team on fleet-level anomaly detection, mapping outputs to actionable insights for tenants
• Signal Calibration: Drive detection fidelity by reducing false positives, expanding signal coverage, and building feedback loops to maintain accurate thresholds as the fleet grows
• Intelligence Layer (ML/RL & Agentic): Partner with the applied science team to integrate ML/RL outputs into customer alerting, translating model signals into sharp, actionable judgment calls
• Product Engineering: Ship customer-facing features end-to-end across the CIA stack, including alert rule engines, control plane APIs, action workflows, and insight delivery surfaces
• 0-to-1 & Scale: Build new systems from scratch and scale existing ones to support Crusoe’s rapidly growing global fleet
• System Design & Collaboration: Drive cross-team design discussions, evaluate technical trade-offs, and collaborate with product teams to shape early requirements
• Technical Mentorship: Mentor engineers through code reviews, design feedback, and coaching, while helping define our hiring standards

Benefits

• Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
• Time away: Paid time off for vacations, family bonding, and unexpected needs
• 401(k) match: Build your financial future with our 401(k) matching program
• Mental wellness: Resources and support for your emotional wellbeing and navigating life’s challenges

• 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
• What sets you apart is your deep expertise in anomaly detection, heuristics, machine learning (including RL), and agentic applications applied to global-scale infrastructure
• Threshold & Signal Calibration: Proven ability to navigate precision/recall trade-offs and build continuous feedback loops that keep detection systems accurate
• Anomaly Detection & Heuristics Expertise: Deep experience building anomaly detection systems, heuristics-based rule engines, or ML/RL systems for infrastructure or data-intensive domains
• Communication & Mentorship: Ability to clearly explain complex logic and trade-offs to both technical and non-technical partners, coupled with a drive to elevate the team through clear vision and mentorship
• Full Software Engineering Craft: 5+ years of experience shipping production software using modern compiled or systems languages (Go, Rust, C++, Java, or similar)
• Distributed Systems Fundamentals: Strong foundation in building reliable, scalable backend systems and leading complex architectural discussions
• Data & Observability Fluency: Expertise with time-series data, telemetry pipelines, and observability primitives to turn raw metrics into actionable insights
• 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
• Experience shipping production agentic applications, such as LLM-based agents for triage, root-cause analysis, or automation
• Familiarity with large-scale fleet management or cloud infrastructure
• Passion for building team culture and engineering quality of life