Staff Production Engineering Specialist (R6041)
Dallas · USD 42-63 · 3+ years experience · Onsite · Posted Sep 24, 2026
At a glance
- Experience
- 3+ years experience
- Workplace
- Onsite
- Location
- Dallas
- Salary
- USD 42-63
About the role
- Shield AI is seeking a Staff Production Engineering Specialist (R6041) for Dallas.
- The role involves owning the VBAT production training program, leading continuous-improvement initiatives using lean manufacturing principles, and building a data-driven operating model for the VBAT production team.
Responsibilities
- Own the VBAT production training program, including onboarding, role-based training, cross-training, recertification, ongoing skills development, and technician qualification records.
- Develop and deliver effective classroom, workstation, and on-the-job training for assembly, production, and test processes; maintain skills matrices, on the job training assessments, and training readiness metrics.
- Continuously identify skill gaps, align training to current production needs, and assess effectiveness through observations, competency checks, audit results, technician feedback, and production performance.
- Lead continuous-improvement initiatives using lean manufacturing principles—including 5S, visual management, standard work, root-cause analysis, waste reduction, and flow optimization—to improve safety, quality, delivery, and cost.
- Use production, quality, and training data to identify and help resolve bottlenecks, cycle-time variation, recurring defects, rework, material-flow issues, equipment downtime, ergonomic risks, and workforce capability gaps.
- Own the CCAR process and lead the Manufacturing Council, creating a responsive closed-loop system that turns technician feedback and shop-floor opportunities into prioritized, implemented, verified, and sustained improvements.
- Build a data-driven operating model for the VBAT production team by establishing standardized performance metrics, reporting cadences, and visual management routines that enable timely, data-driven decisions.
- Develop and maintain daily, weekly, and monthly dashboards tracking output versus plan, throughput, first-pass yield, defects and rework, cycle time, downtime, labor efficiency, training completion, and cross-training coverage.
- Analyze production capacity, staffing, and improvement impact using takt time, labor content, workstation capacity, skills readiness, and before-and-after performance data to support production-ramp planning and sustain measurable gains.
Requirements
- Bachelors degree in Industrial or Systems Engineer, or Data Analytics; equivalent technical experience in avionics or aerospace production will be considered.
- 3+ years of experience in a manufacturing or technical support role, preferably within aerospace, defense, UAS, or other complex hardware manufacturing environments.
- Ability to operate effectively in a fast-paced, highly dynamic environment with evolving priorities.
- Excellent analytical, organizational, and communication skills.
- U.S. citizenship and ability to obtain/maintain a security clearance.
Benefits
- Bonus
- Benefits
- Equity
- Temporary benefits package
Skills
- Power BI
- Palantir
- Tableau
- Cognos
- Microsoft Access
