--- title: 'Staff Network Production Engineer, Deployment at Crusoe' canonical: 'https://feeny.ai/job/staff-network-production-engineer-deployment-crusoe-san-francisco-yb6t9zdv5a4h' type: 'job' last_seen: '2026-11-06' --- # Staff Network Production Engineer, Deployment at Crusoe - **Company:** [Crusoe](https://feeny.ai/companies/crusoe) - **Location:** San Francisco, CA / United States - **Compensation:** $193k–$2.3M - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-05-21 - **Last confirmed live:** 2026-11-06 - **Apply:** https://jobs.ashbyhq.com/Crusoe/7892f702-1af8-483e-9d00-3b1a1bd51803/application **Skills:** Network Engineering, Data Center Operations, Structured Cabling, SMF/MMF, MPO/MTP, Optical Transceivers, 400G/800G, Arista EOS, Juniper Junos, NVIDIA/Mellanox, BGP, EVPN-VXLAN, LLDP, Python, Ansible, Zero Touch Provisioning, OTDR, Light Meters, Packet Captures > Lead the physical and logical implementation of global network infrastructure for AI infrastructure, including data centers and edge sites. Responsibilities include executing global build-outs, translating high-level designs into site-specific plans, validating deployments, and optimizing automation with Python and... ## 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 Cloud is seeking a high-energy, detail-oriented Staff Network Production Engineer to lead the physical and logical implementation of our global network. As we rapidly expand our footprint of high-performance compute (HPC) and GPU-based AI infrastructure, you will be the primary driver behind bringing new data centers and edge sites online. This is a technical, hands-on role that sits at the intersection of Network Engineering, Data Center Operations, and Project Management. You aren't just following a runbook; you are refining the deployment standards for the world’s most innovative AI cloud. You will ensure that every switch, router, and fiber optic link is deployed to spec, validated, and seamlessly handed off to our Operations team. What You’ll Be Working On: - Execute Global Build-outs: Lead the end-to-end deployment of network infrastructure in new and existing data centers, from initial rack/stack oversight to final hand-off. - Bridge Design and Reality: Take high-level designs from the Network Development team and translate them into site-specific implementation plans, cable maps, and configuration templates. - Validate and Commission: Perform rigorous "Burn-in" testing and site acceptance testing (SAT) for new network clusters, ensuring zero-defect handovers to the Operations team. - Optimize Deployment Automation: Use Python, Ansible, and ZTP (Zero Touch Provisioning) to automate the staging and configuration of hundreds of network devices simultaneously. - Manage On-site Partners: Coordinate with remote hands, structured cabling vendors, and data center providers to ensure physical layer standards (fiber paths, power requirements, and cooling) meet Crusoe’s stringent HPC requirements. - Inventory and Capacity Management: Track global hardware assets and lead the "Turn-up" of new backbone capacity and edge interconnects. What You’ll Bring to the Team: - 8+ years of experience in network engineering with a heavy focus on large-scale data center deployments and infrastructure projects. - Mastery of Physical Layer Standards: Expert knowledge of structured cabling (SMF/MMF, MPO/MTP), optical transceivers (400G/800G), and data center power/cooling requirements. - Strong Routing and Switching Knowledge: Hands-on experience configuring Arista (EOS), Juniper (Junos), and NVIDIA/Mellanox platforms in a leaf-spine architecture. - Protocol Proficiency: Solid understanding of BGP, EVPN-VXLAN, and LLDP as they relate to large-scale fabric provisioning. - Automation-First Mindset: Proficiency in Python and Ansible for automating repetitive deployment tasks and validating configuration state. - Logistical Excellence: Proven ability to manage multiple complex projects simultaneously across different time zones and physical locations. - Troubleshooting Expertise: Ability to diagnose complex physical layer and link-layer issues using OTDRs, light meters, and packet captures. - Education: Bachelor’s degree in a technical field or equivalent practical experience in hyperscale or ISP environments. Benefits: - Competitive compensation - Restricted Stock Units - Paid time off & paid holidays - 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 Compensation: Compensation will be paid in the range of $215,000 - $260,000 + Bonus. Restricted Stock Units are included in all offers. 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, AI Model Lifecycle](https://feeny.ai/job/staff-software-engineer-ai-model-lifecycle-crusoe-san-francisco-3918za8e9e1h) — San Francisco, CA / United States - [Chief of Staff (Internal)](https://feeny.ai/job/chief-of-staff-internal-crusoe-san-francisco-bwkm4fm3s4sa) — San Francisco, CA / United States - [Chief of Staff](https://feeny.ai/job/chief-of-staff-crusoe-san-francisco-qrfygkwp3rwj) — San Francisco, CA / United States - [Senior Technical Sourcing Manager, Fiber](https://feeny.ai/job/senior-technical-sourcing-manager-fiber-crusoe-bellevue-wyvbb6jrpc2m) — Bellevue, WA / United States - [Senior Asset Analyst, Supply Chain](https://feeny.ai/job/senior-asset-analyst-supply-chain-crusoe-denver-vc7357r6rbt7) — Denver, CO / United States - [Senior Asset Analyst, Supply Chain](https://feeny.ai/job/senior-asset-analyst-supply-chain-crusoe-san-francisco-hakbnyhhqfsv) — San Francisco, CA / United States - [Associate, Capital Markets](https://feeny.ai/job/associate-capital-markets-crusoe-san-francisco-fxjyaaymqs4r) — San Francisco, CA / United States - [Senior QA Engineer, Client Interfaces](https://feeny.ai/job/senior-qa-engineer-client-interfaces-crusoe-san-francisco-m5nzrby0g8r9) — San Francisco, CA / United States - [Senior Financial Analyst, Headcount & OpEx Planning](https://feeny.ai/job/senior-financial-analyst-headcount-opex-planning-crusoe-bellevue-bm7y7n3p3kej) — Bellevue, WA / United States - [Staff Quality Control (QC) Engineer](https://feeny.ai/job/staff-quality-control-qc-engineer-crusoe-childress-88wv4gkyhqw4) — Childress, TX / United States