Shield AI
Deep-tech
StaffEngineer,AdvancedManufacturing-SpecialProjects
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff Engineer, Advanced Manufacturing - Special Projects at Shield AI. Skills: Manufacturing processes, Production systems, Process development, Assembly engineering. Define Bill of Process. Define manufacturing sequence”
What You'll Achieve.
Increase throughput; Reduce costs; Scale operations; Build out infrastructure for new production line; Ensure smooth integration of new technologies; FAI readiness
Industry & Context.
Identify bottlenecks; Lead kaizen improvements; Drive root cause and corrective action
Ability to obtain and maintain a Top Secret clearance
What They're Looking For.
Must Have
Ability to obtain and maintain a Top Secret clearance, 7+ years of experience in manufacturing engineering, production systems, process development, or assembly engineering, Bachelor’s degree in Mechanical, Industrial, Mechatronics, or related STEM field, Experience in prototype manufacturing in a startup or rapid-growth environment, understanding of manufacturing processes, including machining, composites, avionics and/or assembly, Demonstrated ability to work in a fast-paced, high-pressure environment and adapt to changing priorities
Nice to Have
Knowledge of quality standards, such as AS9100 or ISO 9001, Proficiency in CAD software, Familiarity with advanced manufacturing technologies, such as additive manufacturing or automation systems, Hands-on experience with manufacturing equipment and tooling design, project management skills, including experience managing multiple priorities and deadlines
What You'll Do.
Define Bill of Process
Define manufacturing sequence
Map MBOM to operations
Build ergonomic workstations
Create visual work instructions
Lead kaizen improvements
Establish standardized work
Capture shop-floor lessons learned
Drive root cause analysis
Validate process updates
Maintain work instructions
How You'll Work.
Team & Collaboration
Working across engineering, supply chain, and production; Provide mentorship to other engineers; Partner with Quality
Process & Methodology
Managing multiple priorities and deadlines
Full Job Description
## Description Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the 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: The Staff Advance Manufacturing Engineer, you’ll take ownership of critical manufacturing processes across multiple programs, leading initiatives to increase throughput, reduce costs, and scale our operations. You’ll be instrumental in building out the infrastructure for a new production line supporting a next-generation jet, including selecting and deploying capital equipment, implementing hardware and software tools, and establishing robust production systems. Working across engineering, supply chain, and production, you’ll ensure smooth integration of new technologies and provide mentorship to other engineers. This role is ideal for someone who thrives on cross-functional impact, technical leadership, and factory-scale execution ## What you'll do Define the Bill of Process and manufacturing sequence for assigned subassemblies or cells. Map MBOM to operations, tooling needs, and process controls. Build ergonomic workstations (height/reach zones, shadow boards, calibrated torque tools, ESD controls, POU materials). Create visual, operator-ready Work Instructions with torque specs, PPE, inspection points, and MES revision control. Conduct time studies, compute takt/CT, identify bottlenecks, and lead kaizen improvements. Establish standardized work, visual controls, job aids, and layered audit systems; iterate with operators. Capture shop-floor lessons learned defects, build issues, tooling feedback and drive root cause and c
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