--- title: 'Senior Staff Solutions Engineer (NYC) at Crusoe' canonical: 'https://feeny.ai/job/senior-staff-solutions-engineer-nyc-crusoe-denver-3g18wr1v38ak' type: 'job' last_seen: '2026-11-06' --- # Senior Staff Solutions Engineer (NYC) at Crusoe - **Company:** [Crusoe](https://feeny.ai/companies/crusoe) - **Location:** Denver, CO / United States - **Compensation:** $175k–$250k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-05-26 - **Last confirmed live:** 2026-11-06 - **Apply:** https://jobs.ashbyhq.com/Crusoe/ce4b8e24-0beb-4ed6-927d-77634ebaee40/application **Skills:** Kubernetes, MLOps, Ray, Kubeflow, Helm, Terraform, Docker, AWS, Azure, GCP, Linux, CLI, MLflow, Airflow, Slurm, HPC > Crusoe seeks a Senior Staff Solutions Engineer to guide enterprise customers through AI/ML workload deployments on its GPU infrastructure. The role involves leading technical onboarding, optimizing Kubernetes-based MLOps stacks, and acting as a technical liaison between customers and engineering teams. ## 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: Crusoe Cloud is seeking a Sr. to Senior Staff level Solutions Engineer to work closely with our most strategic enterprise customers deploying AI/ML workloads on Crusoe’s high-performance GPU infrastructure. This is a hands-on, customer-facing role requiring deep technical expertise in Kubernetes, MLOps, and cloud infrastructure. You’ll guide customers through end-to-end deployment—owning the PoC process, optimizing workloads post-sale, and serving as a critical technical voice between our customers and engineering teams. Ideal candidates are passionate about AI infrastructure, fluent in containerized environments, and confident in translating workloads across cloud platforms. What You'll Be Working On: - Customer Enablement: Lead technical onboarding and deployment of complex AI/ML workloads with strategic enterprise customers—owning the POC through to post-sales optimization. - Kubernetes + MLOps Focus: Architect and deploy ML workloads using Kubernetes-based stacks (e.g., Ray, Kubeflow) Design infrastructure that balances performance, scalability, and efficiency. - Infrastructure-Centric Thinking: Go beyond abstracted services—deploy and optimize AI/ML workloads directly on Crusoe infrastructure. Ensure performance at the container and hardware level. - Cross-Cloud Translation: Help customers migrate and adapt workloads across AWS, Azure, and GCP. Understand and explain the tradeoffs between cloud-native and Crusoe-native approaches. - Technical Storytelling: Conduct workshops, live demos, and solution reviews. Contribute to case studies, solution briefs, and blog posts that highlight real-world customer success. - Voice of the Customer: Relay feedback to internal engineering and product teams to continuously improve Crusoe’s platform based on real-world implementation experience. What You'll Bring to the Team: - Deep Kubernetes Expertise: 7+ years building and deploying containerized workloads. Experience with Helm, Terraform, Docker, and multi-node orchestration a must. - MLOps Deployment Experience: Demonstrated success deploying ML frameworks (e.g., Ray, MLflow, Airflow) on Kubernetes—especially for inference and model training workflows. - Hands-on Cloud Infrastructure Knowledge:Familiarity with compute, storage, networking, and scaling in AWS, GCP, or Azure. Experience translating workloads across clouds is highly desirable. - Customer-Facing Technical Confidence: Able to navigate stakeholder conversations, gather requirements, lead technical engagements, and support customers in both pre- and post-sales environments. - Strong Linux and CLI Proficiency:Comfortable operating in Linux environments and troubleshooting infrastructure issues via CLI. - Collaborative Energy: Strong communication skills and eagerness to partner cross-functionally with Engineering, Product, and Sales to make customers successful. Bonus Points - Experience with Ray, Kubeflow, or other distributed ML orchestration platforms - Exposure to Slurm, but with a primary focus on containerized MLOps over traditional HPC - Multi-cloud deployment or migration experience (especially AWS ➝ Crusoe transitions) - Content contributions (tech talks, blogs, public case studies) 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 $175,000 - $250,000 + 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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