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 lead data-driven sustainment decisions for fielded aircraft systems. You will build readiness, availability, demand, capacity, and lifecycle-cost models; analyze operational and maintenance data; develop trade studies and recommendations; and present decision-ready findings to stakeholders.
Requirements
- Bachelor’s degree in Industrial Engineering, Systems Engineering, Operations Research, Data Analytics, or a related technical discipline, or equivalent practical experience
- 5+ years of relevant industrial engineering, sustainment, logistics, maintenance, operations research, fleet operations, aviation sustainment, defense logistics, or hardware-support experience
- Experience using maintenance, reliability, repair, inventory, supply-chain, production, fleet-operations, or fielded-hardware data for quantitative analysis
- Experience performing repair-versus-replace, make-versus-buy, repair-capability, or similar 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 sustainment 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 investments in support equipment, tooling, facilities, and repair capability
- Develop lifecycle-cost models and economic trade studies
- Apply statistical, sensitivity, and scenario analyses
- Translate analyses into recommendations, decision packages, and briefings
- Establish repeatable sustainment analytics processes
Benefits
- Bonus
- Equity