
Real job — pulled straight from Shield AI’s careers page · Verified September 25, 2026 · No reposts.
Job description
Shield AI is hiring a Staff Production Engineering Specialist — a full-time, based in Dallas, TX role. Apply directly on Shield AI's careers page below.
Staff Production Engineering Specialist (R6041)
Team: Production
Location: Dallas, Texas
Commitment: Full Time Employee
Workplace Type: onsite
Job Description:
Shield AI is seeking a highly capable Production Engineering Technician to oversee technician training, continuous improvement initiatives, and production analytics for the V-BAT production line. The role is responsible for developing workforce capability and establishing robust, data‑driven operational systems that enhance safety, quality, delivery performance, cost efficiency, and production scalability.
What you'll do:
- 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.
Training
Lean Manufacturing and Continuous Improvement
Data Analytics
Required qualifications:
- 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.
Preferred qualifications:
- 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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How do I apply for Staff Production Engineering Specialist at Shield AI?
You can view the full description and apply for Staff Production Engineering Specialist at Shield AI on EchoJobs: https://echojobs.io/job/shield-ai-staff-production-engineering-specialist-r6041-vsb6d.