Quality Engineer-Early Career

Security Clearance

None

Shift

First

Direct/Indirect

Direct

Business Area

Rotary and Mission Systems

Department

MSMQ1P:PQA MANASSAS MFG

Relocation/Housing Stipend Available

No

Job Code/Title

E1581:Quality Engineer Asc

Job Class

QA/Test and Inspection

Job Category

4 yr and up College

Req Type

Full-Time

Job Description

By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel development and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility. Your Mission is Ours.

Lockheed Martin Rotary & Mission Systems is seeking a full-time Quality Engineer supporting manufacturing efforts in Manassas. In this role, you will be an integral part of the Quality Management System for a high rate manufacturing program, handling non-conforming material, process improvements, and developing innovative quality assurance systems. The successful candidate will have experience and/or knowledge of quality principles in the areas of: design, incoming material, production control, product evaluation, program performance, reliability, inventory control, and/or research and development as they apply to product or process quality for make and/or buy products. Performs technical evaluations including product requirements, specifications, models/designs, drawings and procedures. Collaborates with program management, engineering, manufacturing, supply chain and customers on quality related issues to ensure quality standards are in place. The successful candidate will also be responsible for designing, developing, and maintaining statistical process control visualizations for the program. The successful candidate will also have responsibility for operating and maintaining AI based inspection systems.

Must be a US Citizen.

Basic Qualifications

- Bachelor's Degree in a Relevant Field: A bachelor's degree in a relevant field such as Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Computer Science, or a related field is required.
- Knowledge of Quality Management Systems: Familiarity with quality management systems such as AS9100, ISO 9001, with an understanding of the principles and practices of quality engineering.
- Communication and Collaboration Skills: Excellent communication and collaboration skills are essential, with the ability to work effectively with cross-functional teams, communicate technical information to non-technical stakeholders, and prepare and present reports and other documentation as needed.

Desired skills

- Knowledge of Industry Standards and Regulations. Strong understanding of industry standards and regulations (e.g., DoD requirements, AS9100, ANSI Z540, ESD S20.20), with the ability to apply compliance knowledge to aerospace and defense manufacturing and inspection processes.

- Analytical and Problem-Solving Skills. Demonstrated ability to collect, analyze, and interpret large, complex datasets. Skilled at identifying root causes of quality issues and implementing data-driven corrective and preventive actions using structured methodologies (5-Whys, Fishbone, FRACAS/FRB).

- Experience in High-Rate Manufacturing Environments. Hands-on experience supporting production in high-rate, fast-paced manufacturing settings, balancing quality assurance with efficiency, throughput, and continuous improvement.

- Programming and Technical Proficiency. Proficient in programming languages such as Java, Python, MATLAB, or similar, with experience in data analysis, automation, and maintaining/customizing machine learning inspection systems (e.g., computer vision, anomaly detection, AI-assisted quality tools). Ability to develop scripts, dashboards, or models to monitor and enhance inspection effectiveness.

- Quality and Digital Integration Mindset. Familiarity with machine learning, computer vision, and digital quality technologies. Ability to partner with engineers and data scientists to integrate ML-based inspection into quality workflows, ensuring robustness, scalability, and regulatory compliance.

- Strong communication skills to collaborate cross-functionally with manufacturing, engineering, and program teams. Capable of explaining technical insights (