Staff Production Engineering Specialist (R6041)

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.

Training 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. Lean Manufacturing and Continuous Improvement 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. Data Analytics 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.

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.

Experience with data visualization tools, such as Power BI, Palantir, Tableau, Cognos, and/or Microsoft Access. Proficiency in Lean Manufacturing principles, including 5S, visual management, standard work, root‑cause analysis, waste reduction, and flow optimization. Ability to translate technician feedback and production challenges into structured problem-solving activities. Experience operating, maintaining, and facilitating training programs and performance across large scale operations and organizations. Excellent communication and presentation skills, with the ability to train and influence technicians, supervisors, and cross-functional stakeholders.

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