--- title: 'Staff Engineer, Command Center Insights & Actions at Crusoe' canonical: 'https://feeny.ai/job/staff-engineer-command-center-insights-actions-crusoe-san-francisco-mtekr5wksr95' type: 'job' last_seen: '2026-09-11' --- # Staff Engineer, Command Center Insights & Actions at Crusoe - **Company:** [Crusoe](https://feeny.ai/companies/crusoe) - **Location:** San Francisco, CA / United States - **Compensation:** $210k–$255k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-23 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/Crusoe/20dbc9d0-1de8-45ed-80c5-5e27d8f2e92e/application **Skills:** Anomaly detection, Heuristics, Machine learning, Reinforcement learning, Distributed systems, Go, Rust, C++, Java, Time-series data, Telemetry pipelines, Observability primitives, Nsight, NCCL Inspector, Hardware-level infrastructure diagnostics, Observability platforms, Large-scale fleet management, Cloud infrastructure > Crusoe seeks a Staff Engineer to own the detection stack for its Command Center platform, defining heuristics and anomaly detection systems. The role involves building scalable backend services, integrating ML/RL techniques, and mentoring engineers while shipping customer-facing features. ## Job description 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. About the Role: 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. What You'll Be Working On: - Detection & Intelligence Ownership: Own the full detection stack — heuristics, threshold calibration, precision/recall tuning, and the rule systems that define what "something is wrong" means for the platform. - Anomaly Detection Pipelines: Design and maintain detection systems including straggler node detection, GPU health signals, and fleet-level behavioral baselines. - Signal Calibration: Drive detection fidelity by reducing false positives, increasing signal coverage, and building feedback loops that keep thresholds accurate as the fleet grows. - ML/RL Integration: Evaluate and integrate machine learning and reinforcement learning techniques where they outperform rule-based approaches — and know when not to reach for a model. - Product Engineering: Ship customer-facing features end-to-end across the CCIA stack — alert rule engine, control plane APIs, automated action systems, and insights delivery surfaces. - 0-to-1 & Scale: Build new systems from scratch and scale existing ones to support Crusoe's rapidly growing global fleet. - Cross-Functional Collaboration: Work closely with product counterparts to shape requirements early and partner with the data science team to develop and validate detection models. - System Design: Participate in design discussions across teams, contribute architectural perspective, and help evaluate technical trade-offs. - Technical Mentorship: Mentor engineers at all levels through code review, design feedback, and direct coaching, and contribute to hiring by helping define what great looks like. What You'll Bring to the Team: - 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. - Distributed Systems Fundamentals: Strong foundations in the building blocks of reliable, scalable backend systems—you can hold your own in any system design conversation. - Full Software Engineering Craft: 5+ years shipping production software; experience with modern compiled or systems languages (Go, Rust, C++, Java, or similar). - Data & Observability Fluency: Comfortable with time-series data, telemetry pipelines, and observability primitives—you understand how raw metrics become actionable insights. - Communication: You can explain detection logic, trade-offs, and system behavior clearly to both engineers and non-technical partners. - Force Multiplier Mindset: You make the team better—through mentorship, clear technical vision, and a genuine investment in the people around you. Bonus Points - 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. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location ## Compensation Range Compensation will be paid in the range of up to $210,000 - $255,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. ## About Crusoe ## Company Overview - **One-liner**: Crusoe is an energy-first AI infrastructure company that designs, builds, and operates hyperscale data centers and a cloud platform purpose-built for artificial intelligence workloads. - **Entity Type**: Private (Series E) - **Headquarters**: Denver, Colorado, USA - **Founded**: 2018 - **Founders**: Chase Lochmiller and Cully Cavness ## Core Business - Primary industry/industries: AI Infrastructure, Cloud Computing, Data Centers, Clean Energy - Target customers: Enterprise AI companies, AI-native startups, research institutions, government agencies (B2B) - **Mission**: "Accelerate the abundance of energy and intelligence." ## Products & Services - **Crusoe Cloud**: An AI-optimized cloud platform purpose-built for AI workloads, featuring high-performance NVIDIA and AMD compute, accelerated storage, and optimized RDMA networking. Claims to deploy models up to 20x faster and cut costs by up to 81%. - **Crusoe Managed Inference**: A managed AI inference service built with Crusoe's proprietary MemoryAlloy technology, offering best-in-class speed, throughput, and reliability. Features the Crusoe Intelligence Foundry for model selection and API key management. - **AI Data Center Infrastructure**: Vertically integrated design, build, and operation of hyperscale AI factories (e.g., the 1.2 GW Stargate campus in Abilene, TX). Modular, scalable construction for power-hungry AI workloads. - **Crusoe Managed Kubernetes & Slurm**: Managed orchestration services that eliminate operational overhead for customers. - **Crusoe AutoClusters**: Fault-tolerant, managed cluster services for large-scale AI training. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company). - **Key Metric**: Raised over $1.8B+ in total funding (Series E in 2024 was $1B+; Series D in 2024 was $600M; Series C in 2021 was $350M). - **Notable Investors/Partners**: NVIDIA, NYDIG, GE Vernova, Redwood Materials, Tallgrass, AMD. The company has also partnered with leading energy and technology firms to power its data centers. - **Growth Signals**: Divested bitcoin mining business to NYDIG in 2023 to focus exclusively on AI infrastructure; broke ground on the 1.2 GW Stargate campus in Abilene, TX; expanded into Europe with a geothermal/hydro-powered deployment in Iceland; announced 1.8 GW Wyoming data center with Tallgrass; acquired GPU memory optimization startup Atero and established a Tel Aviv office. ## Competitive Advantages - **Energy-First Approach**: The company’s core differentiator is its vertical integration starting from energy sourcing. It uses "environmentally aligned power sources" (wind, solar, hydropower, geothermal, natural gas with carbon capture) to power its AI factories, including pioneering technology to convert wasted natural gas into energy. - **Vertical Integration**: Controls the entire stack—from finding innovative energy sources to building and managing hyperscale data centers and operating the cloud platform. - **NVIDIA Partnership**: Close partnership with NVIDIA, providing access to the latest and highest-performance GPU hardware for its cloud and infrastructure. - **Proven Performance**: Claims 99.98% uptime, 100% customer satisfaction score, and significant cost/performance advantages (up to 81% cost reduction). ## Strategic Focus - **Massive Infrastructure Expansion**: Aggressively scaling its data center footprint, with major projects in Abilene, Texas (Stargate) and Wyoming (Tallgrass), and expansion into Europe. - **Deepening AI Cloud**: Continuing to build out its Crusoe Cloud platform with managed services (Kubernetes, Slurm, AutoClusters) to make it easier for AI companies to use their infrastructure. - **Responsible AI**: Emphasizing sustainability and responsible AI governance, as evidenced by achieving ISO 42001 certification and publishing an ESG report. - **Acquisition-led Growth**: Acquired Atero (GPU memory optimization) to enhance its core technology stack. ## Why Work Here - **Mission-Driven**: The company is united by a tangible mission: "Accelerate the abundance of energy and intelligence." Employees report high levels of engagement (92% proud to work there per internal survey). - **Massive Growth Trajectory**: Crusoe is at the center of the AI infrastructure boom, building some of the world's most powerful AI factories. For job seekers, this means exposure to cutting-edge technology and the opportunity to scale a company from a startup to an industry leader. - **Culture**: The company values "moving fast and making things," continuous learning, and collective genius. It describes itself as an "AI factory company" that values velocity and impact. - **Work Policy**: Hybrid/Office presence required in most roles. Office locations include: Denver (HQ), San Francisco, Sunnyvale, Bellevue, Tulsa, Dublin (Ireland), and Tel Aviv (Israel). - **Benefits**: Competitive compensation & equity, comprehensive health & wellness, mental health resources, retirement plans, paid time off, leave of absence programs, learning & development, volunteer time off, daily meals allowance, and other location-specific perks. - **Engineering Culture**: Strong emphasis on technical excellence, working with large-scale systems, and pioneering new approaches to energy and infrastructure. The company values candidates' "AI fluency" in its hiring process. ## Sources 1. [crusoe.ai](https://www.crusoe.ai/) 2. [crusoe.ai/careers](https://www.crusoe.ai/about/careers) 3. [crusoe.ai/about/culture](https://www.crusoe.ai/about/careers/culture) 4. [crusoe.ai/about/company](https://www.crusoe.ai/about/company) ## Other roles at Crusoe - [Vice President, Information Technology](https://feeny.ai/job/vice-president-information-technology-crusoe-san-francisco-f3vrrtk5yffx) — San Francisco, CA / United States - [Associate Construction Engineer - Power Infrastructure](https://feeny.ai/job/associate-construction-engineer-power-infrastructure-crusoe-denver-t7twn5hnxss8) — Denver, CO / United States - [Senior Software Engineer, Data Platform](https://feeny.ai/job/senior-software-engineer-data-platform-crusoe-san-francisco-exbgj0xgczrk) — San Francisco, CA / United States - [Head of Internal Audit](https://feeny.ai/job/head-of-internal-audit-crusoe-san-francisco-1xcybe9drby4) — San Francisco, CA / United States - [Vice President, Product Management, Managed AI](https://feeny.ai/job/vice-president-product-management-managed-ai-crusoe-san-francisco-cz9enxmhbgpk) — San Francisco, CA / United States - [Logistics and Inventory Manager](https://feeny.ai/job/logistics-and-inventory-manager-crusoe-reykjanesbaer-91vdr925h1m4) — Reykjanesbaer, Iceland - [Senior Facilities Engineer](https://feeny.ai/job/senior-facilities-engineer-crusoe-sparks-hvr5yw0t8n6a) — Sparks, NV / United States - [Learning & Development Specialist](https://feeny.ai/job/learning-development-specialist-crusoe-brighton-xa5tf3zx69r7) — Brighton, CO / United States - [Senior Analyst, Business Health Finance](https://feeny.ai/job/senior-analyst-business-health-finance-crusoe-bellevue-je6bkyv3n58p) — Bellevue, WA / United States - [Quality Manager - Manufacturing](https://feeny.ai/job/quality-manager-manufacturing-crusoe-brighton-89d7tkz350zy) — Brighton, CO / United States