Staff Engineer, Industrial (R6037)

Dallas · USD 140,000-210,000 / year · 5+ years experience · Onsite · Posted Sep 24, 2026

At a glance

The Staff Engineer, Industrial will own sustainment decision analysis for fielded aircraft systems at Shield AI.
This role involves building integrated fleet-readiness models and developing business cases to optimize maintenance, repair, and supply chain operations.

Own sustainment decision analysis for fielded aircraft systems, including maintenance-level determinations and repair-versus-replace assessments.
Build and maintain integrated fleet-readiness and availability models linking reliability, maintenance demand, and supply chain factors.
Develop repair-versus-replace and repair-network business cases to assess discard, repair, and redesign alternatives.
Analyze maintenance records, failure history, and logistics data to identify readiness risks and sustainment opportunities.
Develop demand forecasts, spares recommendations, and provisioning strategies.
Perform manpower, workload, capacity, and skill-mix analyses to define staffing needs and improve maintenance throughput.
Evaluate investments in support equipment, tooling, and facilities by quantifying ROI and lifecycle value.
Develop lifecycle-cost models and economic trade studies to inform sustainment planning and leadership investment decisions.
Apply statistical and scenario analyses to prioritize actions that improve fleet availability and reduce sustainment costs.
Translate complex analyses into executive-ready briefings and decision packages for cross-functional stakeholders.

Bachelor’s degree in Industrial Engineering, Systems Engineering, Operations Research, Data Analytics, or a related technical discipline.
5+ years of experience in industrial engineering, sustainment, logistics, supportability, maintenance, operations research, or complex hardware-support environments.
Demonstrated experience using maintenance, reliability, repair, or fleet-operations data to develop quantitative analyses.
Experience performing repair-versus-replace, make-versus-buy, or comparable sustainment trade studies.
Proficiency with SQL, Python, Power BI, Tableau, Excel, R, or MATLAB.
Ability to integrate technical, operational, supply-chain, and financial inputs into data-driven recommendations.
Strong cross-functional collaboration and communication skills to drive decisions without direct authority.
Active Secret or Top Secret clearance.

Familiarity with aviation, defense, aerospace manufacturing, unmanned systems, or aircraft sustainment.
Familiarity with RCCA, FRACAS, PQDR, AS9100, service bulletins, and maintenance releases.
Proficiency with Salesforce or Foundry.
Demonstrated ability to collect, clean, and structure data from multiple operational or quality systems.
Experience developing metrics, dashboards, or recurring reports.
Demonstrated success identifying and correcting data-quality or traceability issues.
Experience supporting military, government, international, or deployed aviation customers.
Familiarity with ITAR or export-controlled technical data.