--- title: 'Staff Software Engineer at Crusoe' canonical: 'https://feeny.ai/job/staff-software-engineer-crusoe-dublin-jcp6serhzq7r' type: 'job' last_seen: '2026-10-16' --- # Staff Software Engineer at Crusoe - **Company:** [Crusoe](https://feeny.ai/companies/crusoe) - **Location:** Dublin, Ireland - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-21 - **Last confirmed live:** 2026-10-16 - **Apply:** https://jobs.ashbyhq.com/crusoe/2f916265-7555-4e52-9165-739bf7272ecf ## 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 This Role: Crusoe is on a mission to accelerate the abundance of energy and intelligence by building the world’s only vertically integrated AI infrastructure company from the ground up. As a Software Engineer on the Cloud Availability Platform team, you will help build Conductor—our self-driving control plane designed to predict, decide, and act autonomously to keep tens of thousands of accelerators running at peak efficiency. In this role, you will play a direct part in solving the AI compute energy bottleneck by treating power as a control input rather than a static constraint. Working alongside staff and principal engineers, you will have true ownership over greenfield services, building distributed systems that optimize power, cost, and useful compute in real time. This is a full-time position tailored for a problem-solving engineer who thrives in ambiguity and has a strong bias toward shipping. You will tackle rare infrastructure challenges—such as energy-aware compute scheduling, closed-loop remediation, and failure prediction on noisy hardware telemetry—transforming complex operational signals into a single, programmable control plane. If you are excited to build foundational infrastructure that turns tens of thousands of accelerators across sites into one cohesive, logical system, this role offers an unprecedented opportunity to do the most meaningful work of your career. Key Responsibilities: - 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. What You’ll Bring to the Team: - 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. - 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. Bonus Points: - Hardware & HPC Familiarity: Hands-on experience or deep familiarity with GPU health telemetry, NVLink/InfiniBand/RoCE networking fabrics, or hardware thermal and power behavior. - Observability Architecture: Prior experience designing scalable observability and telemetry pipelines that span compute, storage, and networking layers. - Scheduler Internals: Familiarity or direct exposure to Kubernetes internals, Slurm, or other distributed orchestrator ecosystems. - Statistical Methods & ML: Experience applying statistical methods, anomaly detection, or time-series forecasting to noisy operational data for predictive maintenance. - Zero-Trust Security: Knowledge of zero-trust architectures, policy-based access systems, or automated multi-tenant audit streaming. Benefits: Crusoe also offers a competitive benefits package designed to support financial security, health, and overall well-being, including pension contributions, private health and dental insurance, income protection, life assurance, and more. Compensation: Compensation will be paid as a salary or hourly. Compensation to be determined by the applicant’s education, experience, knowledge, skills, 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 - [Staff Software Engineer, Storage](https://feeny.ai/job/staff-software-engineer-storage-crusoe-sunnyvale-jxasjk9ptq7b) — Sunnyvale, CA / United States - [AI Tools Engineer, Storage Infrastructure](https://feeny.ai/job/ai-tools-engineer-storage-infrastructure-crusoe-san-francisco-p959jsmvr8cx) — San Francisco, CA / United States - [Senior Staff R&D Technical Project Manager Design](https://feeny.ai/job/senior-staff-r-d-technical-project-manager-design-crusoe-denver-sjhr92y0bmz3) — Denver, CO / United States - [Senior Contracts Specialist](https://feeny.ai/job/senior-contracts-specialist-crusoe-denver-ap9n5y60w12c) — Denver, CO / United States - [Senior Contracts Specialist](https://feeny.ai/job/senior-contracts-specialist-crusoe-san-francisco-gxngymx4waxq) — San Francisco, CA / United States - [Senior Staff Software Engineer, Storage](https://feeny.ai/job/senior-staff-software-engineer-storage-crusoe-sunnyvale-x67581ywfzka) — Sunnyvale, CA / United States - [Director, Accounting – Manufacturing](https://feeny.ai/job/director-accounting-manufacturing-crusoe-tulsa-v2xbnpc22bbs) — Tulsa, OK - [Director, Accounting – Manufacturing](https://feeny.ai/job/director-accounting-manufacturing-crusoe-brighton-ey2ck2jadq82) — Brighton, CO / United States - [Senior Customer Support Engineer - Managed Inference](https://feeny.ai/job/senior-customer-support-engineer-managed-inference-crusoe-denver-kqghywq4j8ks) — Denver, CO / United States - [Senior Customer Support Engineer - Managed Inference](https://feeny.ai/job/senior-customer-support-engineer-managed-inference-crusoe-new-york-xkct785w7et2) — New York, NY / United States