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Staff Engineer, Industrial

Shield AI · On-site

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MeritLog keeps this source-backed description for reference. Availability is not verified, and there is no application link here.

Last seen by MeritLog September 9, 2026Source: LeverSource version: lever-postings-v1

Source: the employer's Lever job board. Open the original listing for current details. Availability is not verified for this retained page.

Job details

Work model
On-site
Salary
Not listed by source
Location
Seattle, Washington

Job description

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.  Job Description: We are seeking a highly motivated Staff Advance Industrial Engineer to design, optimize, and scale world-class manufacturing systems for advanced aerospace products. In this role, you will lead factory and production system design, including facility layouts, material flow, line balancing, capacity planning, and production readiness. You will also play a critical role in planning and executing greenfield manufacturing facilities, developing factory concepts from the ground up, including production layouts, infrastructure requirements, equipment planning, material flow strategies, and manufacturing standards.  Partnering with Manufacturing Engineering, Operations, Supply Chain, Facilities, Quality, EHS, and Program Management, you will develop efficient, scalable, and data-driven manufacturing solutions that enable rapid production growth. This is a high-impact role responsible for transforming manufacturing concepts into production-ready factories while driving safety, quality, throughput, and operational excellence.

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