--- title: 'Senior Staff Network Engineer, Deployment at Crusoe' canonical: 'https://feeny.ai/job/senior-staff-network-engineer-deployment-crusoe-san-francisco-rxwdyyk3dqdk' type: 'job' last_seen: '2026-09-25' --- # Senior Staff Network Engineer, Deployment at Crusoe - **Company:** [Crusoe](https://feeny.ai/companies/crusoe) - **Location:** San Francisco, CA / United States - **Compensation:** $225k–$275k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-25 - **Last confirmed live:** 2026-09-25 - **Apply:** https://jobs.ashbyhq.com/Crusoe/9b41f10a-54e8-4c4c-a59b-df93447b356f/application **Skills:** Network Engineering, Data Center Operations, Infrastructure Strategy, Physical Layer Standards, Structured Cabling, SMF/MMF, MPO/MTP, Optical Transceivers, 400G/800G, Data Center Power, HPC, Arista, Juniper, NVIDIA/Mellanox, BGP, EVPN-VXLAN, LLDP, Python, Ansible, CI/CD > Serve as the technical owner for global network infrastructure deployment, defining strategies, standards, and automation platforms for data centers and edge sites. Partner with architecture and operations teams to ensure scalable, high-performance network rollouts for AI infrastructure. ## 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 Senior Staff Network Deployment Engineer to serve as the technical owner of how we deploy network infrastructure across our global fleet. As we rapidly scale our footprint of high-performance compute (HPC) and GPU-based AI infrastructure, you will define the deployment strategy, set the standards, and architect the automation platform that brings new data centers and edge sites online — at a pace and scale few companies have ever attempted. This is a senior technical leadership role at the intersection of Network Engineering, Data Center Operations, and Infrastructure Strategy. You will partner with Network Architecture to shape designs for deployability, mentor a team of Staff and Senior engineers executing your vision, and represent the deployment org in cross-functional planning with Supply Chain, Data Center Ops, and Site Reliability leadership. You're not refining a runbook — you're authoring the playbook that defines how the world's most innovative AI cloud comes online. ## What You'll Be Working On - Own Global Deployment Strategy: Define the multi-quarter technical roadmap for how Crusoe deploys network infrastructure across new and existing data centers, edge sites, and backbone interconnects. - Set the Standards: Author and ratify internal RFCs and technical standards for physical and logical network deployment — cabling, optics, fabric provisioning, validation, and handoff — that the broader engineering org executes against. - Influence Architecture for Deployability: Partner closely with Network Architecture to shape designs that scale operationally; serve as the senior voice ensuring what gets designed can actually be built and validated at hyperscale pace. - Architect the Deployment Automation Platform: Set the technical direction for Crusoe's ZTP, IaC, and validation tooling stack. Drive the strategy for Python-, Ansible-, and CI/CD-based systems that stage and validate hundreds of devices simultaneously. - Define the Validation Framework: Establish the burn-in, site acceptance testing (SAT), and commissioning criteria used across the fleet to ensure zero-defect handovers to Operations. - Lead Vendor and Partner Strategy: Establish standards, SLAs, and qualification programs for structured cabling vendors, remote hands partners, and data center providers globally. Influence hardware vendor roadmaps (Arista, Juniper, NVIDIA/Mellanox) based on Crusoe's operational needs. - Drive Capacity and Asset Strategy: Partner with Supply Chain and Infrastructure leadership on capacity planning, hardware lifecycle, and the turn-up cadence for new backbone capacity and edge interconnects. - Mentor and Multiply: Provide technical guidance to Staff and Senior network deployment engineers. Lead design reviews, post-incident reviews, and drive systemic improvements to deployment quality across the org. ## What You'll Bring to the Team - 12+ years of network engineering experience with a heavy focus on large-scale data center deployments and infrastructure programs, including significant time in hyperscale, large cloud, or ISP environments. - Python - Demonstrated Technical Leadership: Proven track record of authoring standards, mentoring engineers, and driving multi-quarter technical initiatives that span teams. You've operated as a senior technical voice in an organization where decisions you've made are still in production. - Hyperscale Operational Experience: Comfort operating at scale — 10K+ network devices, multi-region fabric deployments, and the realities of building when the supply chain, the timeline, and the physics are all working against you. - Mastery of Physical Layer Standards: Deep expertise in structured cabling (SMF/MMF, MPO/MTP), optical transceivers (400G/800G and roadmap to 1.6T), and data center power/cooling for HPC workloads. - Routing and Switching Fluency: Expert hands-on experience with Arista (EOS), Juniper (Junos), and NVIDIA/Mellanox platforms in leaf-spine architectures. You can go as deep as the problem demands. - Protocol Proficiency: Strong working knowledge of BGP, EVPN-VXLAN, and LLDP as they relate to large-scale fabric provisioning and validation. - Automation Architect: Track record of designing and shipping deployment automation systems used by a broader engineering team — not just scripts you wrote, but platforms others build on. Strong Python and Ansible; familiarity with modern IaC and CI/CD patterns. - Program Leadership: Proven ability to lead multiple complex, concurrent deployment programs across time zones and physical locations, with executive-level communication and risk management. - Diagnostic Depth: Able to diagnose complex physical layer and link-layer issues using OTDRs, light meters, and packet captures — and able to teach others to do the same. - Education: Bachelor's degree in a technical field or equivalent practical experience in hyperscale or ISP environments. 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 $225,000 - $275,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants 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. 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