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Shield AI

Builds autonomous aircraft for defense

Senior Engineer - Manufacturing

Manufacturing EngineeringUpdated on Nov 14
Full-timeDallas, TX, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Mechanical Engineering, Aerospace Engineering, Manufacturing Engineering, Industrial Engineering, or a related engineering discipline is required.
  • At least 5 years of manufacturing engineering experience supporting complex aerospace, defense, automotive, robotics, or advanced manufacturing products is required.
  • Experience developing manufacturing processes, tooling, and production methods for complex assemblies is required.
  • A strong understanding of manufacturing processes such as machining, composites, electrical assemblies, precision mechanical assemblies, or final system integration is required.
  • Proficiency with CAD software such as CATIA, Siemens NX, SolidWorks, Creo, or equivalent is required.
  • A strong understanding of engineering drawings, geometric dimensioning and tolerancing (GD&T), tolerance analysis, and manufacturing documentation is required.
  • Experience supporting prototype builds, production ramp-up, and new product introduction (NPI) is required.
  • Working knowledge of Design for Manufacturing and Assembly (DFM/DFA) principles is required.
  • Analytical, troubleshooting, and root cause analysis skills are required.
  • Ability to lead cross-functional technical initiatives in a fast-paced manufacturing environment is required.

Responsibilities

  • Lead manufacturing engineering activities for assigned aircraft systems from prototype development through full-rate production.
  • Develop, implement, and optimize manufacturing processes, production methods, and assembly sequences to improve safety, quality, cost, and throughput.
  • Design and validate assembly tooling, fixtures, jigs, and manufacturing aids to support efficient and repeatable production.
  • Develop and maintain work instructions, manufacturing process documentation, standard operating procedures, and manufacturing specifications.
  • Partner with Design Engineering to influence product designs through Design for Manufacturing and Assembly (DFM/DFA) and support engineering change implementation.
  • Lead prototype builds, production readiness activities, first article inspections, and new product introductions.
  • Troubleshoot manufacturing issues using structured root cause analysis and implement corrective and preventive actions (CAPA).
  • Drive continuous improvement initiatives focused on manufacturing efficiency, quality, ergonomics, safety, and production capacity.
  • Collaborate with Operations, Quality, Supply Chain, Industrial Engineering, and Program Management to achieve program objectives.
  • Support supplier manufacturing readiness, process validation, and qualification activities as required.
  • Use CAD software to develop tooling concepts, manufacturing aids, and production support equipment.
  • Mentor Associate and Manufacturing Engineers while promoting engineering best practices and manufacturing standards.
  • Support production planning, capacity planning, and manufacturing strategy for future production growth.

Desired Qualifications

  • Experience supporting military, commercial aerospace, defense, automotive, or advanced manufacturing programs.
  • Experience with AS9100, ISO 9001, or other regulated manufacturing environments.
  • Familiarity with Lean Manufacturing, Six Sigma, Value Stream Mapping (VSM), and continuous improvement methodologies.
  • Experience with ERP, MES, PLM, or digital manufacturing systems.
  • Experience with automated manufacturing equipment, robotics, or advanced production technologies.
  • Previous experience mentoring engineers or leading technical projects.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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