関連スキル
Shield AIでは、航空宇宙システムの製造プロセスを統括するシニア製造エンジニアを募集します。5年以上の製造エンジニアリング経験と、CADおよびDFM/DFAの習熟度が必須です。製品ライフサイクル全体にわたる生産最適化と工程設計を主導し、多機能チームと連携して生産効率を向上させる役割を担います。テキストベースの根本原因分析および工程改善能力が重要です。
Dallas, Texas
Aircraft Operations Division – Manufacturing Engineering / Full Time Employee / On-site
Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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.
We are seeking a highly motivated Senior Manufacturing Engineer to lead the development, implementation, and optimization of manufacturing processes for advanced aerospace systems. In this role, you will own one or more aircraft systems throughout the product lifecycle, partnering with Design Engineering, Operations, Quality, Supply Chain, and Program Management to transition products from development into production.
You will play a key role in prototype builds, new product introduction (NPI), production readiness, and production ramp-up while driving improvements in manufacturability, quality, throughput, and cost. This position may support aircraft structures, electrical systems, propulsion, mechanical systems, avionics, final integration, ground support equipment, or other complex aerospace assemblies.
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 (SOPs), 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 effective corrective and preventive actions (CAPA).
Drive continuous improvement initiatives focused on manufacturing efficiency, quality, ergonomics, safety, and production capacity.
Collaborate closely 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.
Utilize 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.
Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Manufacturing Engineering, Industrial Engineering, or a related engineering discipline.
5+ years of manufacturing engineering experience supporting complex aerospace, defense, automotive, robotics, or advanced manufacturing products.
Experience developing manufacturing processes, tooling, and production methods for complex assemblies.
Strong understanding of manufacturing processes such as machining, composites, electrical assemblies, precision mechanical assemblies, or final system integration.
Proficiency with CAD software such as CATIA, Siemens NX, SolidWorks, Creo, or equivalent.
Strong understanding of engineering drawings, GD&T, tolerance analysis, and manufacturing documentation.
Experience supporting prototype builds, production ramp-up, and New Product Introduction (NPI).
Working knowledge of Design for Manufacturing and Assembly (DFM/DFA) principles.
Excellent analytical, troubleshooting, and root cause analysis skills.
Demonstrated ability to lead cross-functional technical initiatives in a fast-paced manufacturing environment.
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.
$100,000 - $160,000 a year
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
