Senior Staff Applications Engineer - Spark

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.

We are seeking a Senior Staff Applications Engineer to own how Spark answers the question of technical fit. You will build and maintain the evaluation framework that determines whether a site, partnership, or commercial opportunity is viable for the Spark modular data center (MDC) and Spark-Liquid (DLC) product lines, and you will support the Energy Development Group (EDG), business development, and partner teams as they apply it. When an opportunity is undefined, unconventional, or contested, you are the Spark team's point of contact, the person who answers the hard product questions and delivers the technical verdict. Spark is on a path to deploy hundreds of megawatts of modular capacity, and every megawatt of it begins as an unqualified site on a map. Your judgment about where this product can be applied, not the design of the product itself, is what converts that pipeline into deployable capacity. What You'll Be Working On: Product Authority & Opportunity Qualification Qualification Framework: Build and maintain the standardized screening criteria, scoring model, decision thresholds, and report format that define what makes a site or opportunity viable for Spark deployments. Keep it current as the product roadmap evolves, and keep a record of past calls and their rationale.

Enablement: Equip EDG, business development, and partner teams to apply the framework themselves on standard opportunities. Train, document, and iterate so routine qualification does not depend on a single point of failure, you. Escalated Technical Judgment: Serve as the Spark team's point of contact for opportunities the framework cannot resolve, including undefined sites, non-standard configurations, and contested calls. Deliver a clear fit, conditional fit, or no-fit verdict with the engineering rationale behind it. Speed Discipline: Turn around escalated feasibility assessments in days, not weeks. Frame the problem tightly enough that deeper analysis, when required, lands on the respective engineering discipline ready to be worked. Deviation & Exception Management: Identify where an opportunity requires deviation from the standard Spark configuration, quantify the engineering cost and schedule impact, and route it to the responsible engineering discipline for disposition. New Application Assessment: Evaluate technical fit for non-standard applications such as edge deployments, distributed energy assets, co-located industrial sites, and third-party colocation and shell-rent arrangements, and define what the product would need to change to serve them. Roadmap Feedback Loop: Feed recurring field constraints back to Spark design engineering and R&D as prioritized product requirements. You are the closed loop between what the market presents and what the product can