--- title: 'Senior Production Engineer, Core PE at Crusoe' canonical: 'https://feeny.ai/job/senior-production-engineer-core-pe-crusoe-san-francisco-bgxw3pnehje5' type: 'job' last_seen: '2026-09-11' --- # Senior Production Engineer, Core PE at Crusoe - **Company:** [Crusoe](https://feeny.ai/companies/crusoe) - **Location:** San Francisco, CA / United States - **Compensation:** $172k–$209k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-05-05 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/Crusoe/40484963-4014-4737-a7c4-5e0862b27ac1/application **Skills:** Linux/Unix, Kubernetes, Distributed Systems, AWS, GCP, Prometheus, Grafana, Alertmanager, OpenTelemetry, Terraform, Ansible, Go, Python, C, C++, Incident Management, ITIL, Container Orchestration, Change Management, Self-healing Systems > The Senior Production Engineer focuses on Operational Excellence for Crusoe's GPU cloud platform, ensuring reliability, scalability, and performance. Responsibilities include defining availability metrics, responding to incidents, building observability tools, and developing automation to reduce operational toil in... ## 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 building the most reliable, energy-efficient, AI-optimized cloud platform — and Production Engineering sits at the heart of that mission. As a Production Engineer focused on Operational Excellence, you will help ensure the reliability, scalability, and performance of Crusoe’s GPU cloud that powers next-generation AI workloads. This role is ideal for engineers who enjoy solving complex production problems, improving large-scale distributed systems, and building automation that keeps infrastructure running smoothly. You’ll play a key role in strengthening the operational foundation of Crusoe’s cloud while helping scale infrastructure that supports demanding AI and HPC workloads. You’ll partner closely with Production Engineers, infrastructure teams, and platform engineers to improve system reliability, reduce operational toil, and drive continuous improvements across Crusoe’s rapidly growing GPU cloud. What You’ll Be Working On: - Collaborate with cross-functional teams to define and evolve availability metrics for Crusoe’s cloud platform, including establishing, measuring, and improving SLIs and SLOs - Participate in production incident response, diagnosing and resolving service disruptions while contributing to post-incident reviews and root cause analysis - Build, operate, and improve observability across Crusoe’s infrastructure using tools such as Prometheus, Grafana, Alertmanager, and OpenTelemetry - Identify reliability risks, performance bottlenecks, and early indicators of potential production issues across distributed systems - Develop automation and tooling that reduces operational toil, improves recovery times, and enables self-healing infrastructure - Partner with compute, networking, storage, and platform teams to strengthen service resilience and disaster recovery capabilities - Contribute to improving operational processes, knowledge sharing, and reliability best practices across the engineering organization - Continue growing technical depth through mentorship, training, and hands-on work operating large-scale AI infrastructure What You’ll Bring to the Team: - 5+ years of experience in Production Engineering, SRE, or large-scale infrastructure operations - Experience supporting GPU workloads, HPC environments, or latency/throughput-sensitive distributed systems - Strong knowledge of Linux/Unix systems, including debugging complex issues across kernel and user space - Previous experience in Infrastructure roles building or managing compute, storage or networking platforms - Understanding of modern cloud infrastructure fundamentals including Kubernetes, distributed systems, virtualization, and cloud platforms (AWS/GCP) - Familiarity with incident management practices and reliability frameworks (SRE, ITIL, or similar) - Experience with monitoring and observability tools such as Prometheus and Grafana, or a strong desire to deepen expertise in this area - Familiarity with infrastructure-as-code and configuration management tools such as Terraform or Ansible - Scripting or programming experience with languages such as Go, Python, C, or C++ - Strong communication skills and the ability to collaborate across engineering teams - Ability to remain calm and effective while troubleshooting complex issues in high-impact production environments - A growth mindset and strong interest in reliability engineering, automation, and operational excellence - Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field (or equivalent combination of education and experience) Bonus Points: - Experience working with Kubernetes or container orchestration platforms at scale - Exposure to change management processes, operational readiness reviews, or structured root cause analysis - Experience designing self-healing systems, automated remediation, or event-driven operational tooling - Interest in scaling AI or HPC infrastructure and solving reliability challenges in GPU-heavy environments - Passion for mentorship, learning, and developing deeper expertise in Production Engineering Benefits: - Industry competitive pay - Restricted Stock Units in a fast growing, well-funded technology company - Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents - Employer contributions to HSA accounts - Paid Parental Leave - Paid life insurance, short-term and long-term disability - Teladoc - 401(k) with a 100% match up to 4% of salary - Generous paid time off and holiday schedule - Cell phone reimbursement - Tuition reimbursement - Subscription to the Calm app - MetLife Legal - Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $172,000 – $209,000 + Bonus. Restricted Stock Units are included in all offers. Compensation will 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 - [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