Staff Engineer Industrial
Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.
Funding history
Investors
About Shield AI
Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will conduct sustainment decision analysis for fielded aircraft systems. You will build fleet-readiness and lifecycle-cost models, analyze maintenance and logistics data, develop repair and provisioning recommendations, evaluate support-capability investments, and translate results into decision-ready recommendations.
Requirements
- Bachelor's degree in Industrial Engineering, Systems Engineering, Operations Research, Data Analytics, a related technical discipline, or equivalent practical experience
- 5+ years of experience in industrial engineering, sustainment, logistics, supportability, maintenance, operations research, fleet operations, aviation sustainment, defense logistics, or complex hardware-support environments
- Experience using operational data to develop quantitative recommendations for readiness, repair capability, logistics, labor, capacity, cost, and performance
- Experience performing repair-versus-replace, make-versus-buy, repair-capability, or comparable sustainment trade studies
- Proficiency with SQL, Python, Power BI, Tableau, Excel, R, MATLAB, or comparable tools
- Ability to integrate technical, operational, supply-chain, labor, and financial inputs into data-driven recommendations
- Cross-functional collaboration and communication skills
Responsibilities
- Own sustainment decision analysis for fielded aircraft systems
- Build and maintain fleet-readiness and availability models
- Develop repair-versus-replace and repair-network business cases
- Analyze maintenance, repair, supply, labor, and fleet operations data
- Develop demand forecasts, spares recommendations, and provisioning strategies
- Perform manpower, workload, capacity, and skill-mix analyses
- Evaluate support-equipment, tooling, facility, and repair-capability investments
- Develop lifecycle-cost models and economic trade studies
- Apply statistical, sensitivity, and scenario analyses
- Create decision packages, briefings, and action plans
- Establish repeatable sustainment analytics processes
Benefits
- Bonus
- Benefits
- Equity
- Temporary benefits package after 60 days of employment