Shield AI
Staff Engineer, Industrial (R6037)
Dallas, Texas · On-site · Staff
- Discipline
- Industrial
- Industry
- Defense
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Aircraft Operations Division
Staff Industrial Engineer, Sustainment Analytics applies data-driven methods to optimize maintenance, repair, spares, and lifecycle costs for defense systems. Partners with multiple engineering and operations teams to improve fleet availability, affordability, and long-term system performance.
Day shift
Required
- industrial engineering
- sustainment analytics
- data-driven decision making
- FRACAS
- maintenance
- supply chain
- fleet readiness
- life-cycle cost
Preferred
- reliability and maintainability engineering
- data engineering
- configuration management
- operational demand analysis
- trade studies
- cost optimization
Employer description
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
The Staff Industrial Engineer, Sustainment Analytics, leads data-driven sustainment decisions by integrating maintenance, FRACAS, failure and repair, supply-chain, operational demand, configuration, labor, and fleet-trend data to identify drivers of downtime, maintenance burden, readiness risk, and lifecycle cost. The role translates these insights into structured analyses, defensible trade studies, and actionable recommendations that optimize maintenance levels, repair capability, spares, manpower, support equipment, processes, and sustainment strategy—improving fleet readiness, repair throughput, maintenance effectiveness, and total cost of ownership.
The engineer partners closely with Fleet Support Engineering, Reliability and Maintainability Engineering, Product Engineering, Reliability Data Engineering, Supply Chain, Manufacturing, Finance, and Operations to ensure sustainment decisions improve fleet availability, customer support, affordability, and long-term system performance.
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