Ai Resume Optimizer

Staff Engineer, Quality (R4744)

Dallas, Texas

Full Time On-site

Summary

Job Description

At Shield AI, we’re building advanced autonomous aircraft that are redefining what is possible, and we are looking for a Staff Quality Engineer to help ensure our products meet the highest standards of performance, reliability, and safety. In this role, you will lead quality initiatives across the product lifecycle, driving improvements from early design and new product introduction through full-rate production.

You will be responsible for developing and maintaining robust quality systems in alignment with AS9100 standards, leading root cause investigations and implementing effective corrective and preventive actions. You will partner closely with engineering, manufacturing, and supplier teams to identify risks, improve process capability, and ensure consistent product quality. Your work will include supporting NPI efforts, establishing control plans and inspection strategies, and using data-driven methods to monitor and improve manufacturing performance.

As a Staff Quality Engineer, you will play a key role in shaping quality strategy, mentoring team members, and influencing cross-functional decisions without direct authority. This is an opportunity to work hands on with next generation aerospace technology and contribute directly to the delivery of highly reliable autonomous systems that will define the future of aviation.

Required qualifications:

Bachelor’s degree in Engineering or a related technical field (or equivalent practical experience)
5+ years of experience in Quality, Manufacturing, or Process Engineering roles
Demonstrated experience leading root cause analysis and implementing effective corrective and preventive actions (RCA/CAPA)
Strong knowledge of quality systems and standards (AS9100 or similar)
Experience supporting new product introduction (NPI) and scaling production in a manufacturing environment
Proficiency in statistical analysis and process control methods (SPC, capability analysis, etc.)
Proven ability to work cross-functionally and influence engineering, manufacturing, and supplier teams

Preferred qualifications:

Experience in aerospace, defense, or other high-reliability industries
ASQ Certified Quality Engineer (CQE), Lean Six Sigma certification, or equivalent
Knowledge of design for quality principles, including DFMEA, tolerance analysis, and design reviews
Experience working with quality and manufacturing systems (QMS, MES, PLM) and data analysis tools
Familiarity with advanced inspection or test methods (metrology, NDT, automated inspection, etc.)

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.

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About Shield AI

Shield AI is a defense technology company building autonomous AI systems for aircraft, drones, and intelligent mission software used in complex military environments. Founded in 2015, the company is best known for developing Hivemind, an AI pilot system that enables aircraft and drones to operate autonomously in contested and GPS-denied environments, supporting U.S. and allied defense missions.

For job seekers, Shield AI offers opportunities across advanced fields including artificial intelligence, robotics, software engineering, autonomy systems, aerospace engineering, embedded systems, and mission operations. The company is especially attractive to engineers, AI researchers, and defense professionals who want to work on real-world autonomous systems that are actively being deployed in operational military scenarios.

Unlike traditional defense contractors, Shield AI operates with a startup-style engineering culture focused on rapid experimentation, real-world testing, and fast deployment of autonomous capabilities. Employees work on tightly integrated AI and robotics systems that combine perception, decision-making, and control, enabling platforms to operate without direct human input in highly complex environments.

As modern warfare increasingly shifts toward autonomous systems, distributed sensing, and AI-enabled decision-making, Shield AI continues to grow as one of the most prominent companies in next-generation defense technology. For professionals seeking to build cutting-edge autonomy systems with direct mission impact, Shield AI stands out as a leading employer in the defense innovation ecosystem.

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