Manufacturing Engineer III

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.

Join Crusoe as a Mid‑Career Manufacturing Engineer and play a key role in the optimization and support of our production facilities. While our design teams create the 3D models for modular integrated electronics buildings and power distribution equipment, you will focus on how these products are built.

This role serves as the vital link between engineering design and the factory floor. You will be responsible for designing efficient plant layouts, driving throughput optimization, and providing daily production support to ensure we meet our manufacturing goals with safety and precision. You will participate actively in the product lifecycle, providing manufacturability feedback to design teams and implementing continuous improvements on the line.

• Plant Layout & Process Optimization: Design and update manufacturing floor layouts to optimize material flow, maximize space utilization, and ensure safe operator movements.

• Throughput Optimization: Analyze production data and perform time studies to identify bottlenecks; implement process improvements to balance assembly lines and increase overall facility throughput.

• Optimization & Metrics: Identify opportunities for improvements in First Pass Yield (FPY) and Overall Process Effectiveness (OPE).

• Capacity Planning: Assist in calculating production capacity and resource requirements to support scaling operations for high-volume manufacturing.

• DFMA & NPI: Participate in Design for Manufacturability and Assembly (DFMA) reviews, providing feedback from the factory floor to simplify assembly and drive cost reductions.

• Work Instructions: Develop and maintain detailed Standard Operating Procedures (SOPs) and assembly instructions to ensure consistent quality across production teams.

• Tooling & Fixturing: Identify, design, and procure manufacturing aids, jigs, and fixtures to improve ergonomics, safety, and efficiency.

• Production Support & Quality: Resolve manufacturing issues in real‑time and lead root cause analysis for defects or process deviations.

• Continuous Improvement: Champion a culture of safety, quality, and efficiency enhancements across the manufacturing department.

• Education: Bachelor's degree in Manufacturing, Mechanical, Electrical, Industrial Engineering, or equivalent.

• Experience: 3–5+ years of experience in a manufacturing engineering role, preferably within a complex assembly or electromechanical environment.

• CAD Proficiency: Proficiency with 2D/3D CAD software (Solid Works, Sketch Up) for creating plant layouts and fixture designs.

• Process Knowledge: Strong understanding of Lean Manufacturing principles (
  5S, Kaizen, Value Stream Mapping
  ) and their application.

• Materials & Assembly: Knowledge of metal fabrication, welding, and mechanical assembly processes.

• Analytical Problem Solving: Ability to solve manufacturing problems utilizing a first principles approach and data-driven analysis.

• Physical Requirements: Ability to lift up to 50…