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Lockheed Martin

Quality Engineer Stf

Grand Prairie, TX, United States
Grand Prairie, United States

Pay Information Full-Time Salary Range: $104900.00 - $194700.00 At Lockheed Martin, we know mission success starts with taking care of our people.

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Job details

Pay: Pay Information Full-Time Salary Range: $104900.00 - $194700.00 At Lockheed Martin, we know mission success starts with taking care of our people.
Apply by: May 1, 2027
Posting language: English
Posted: Nov 2, 2026

Original job description

Standard Job Description

Lockheed Martin is seeking an experienced Staff Quality Engineer (QE) based in Grand Prairie, TX, supporting Missiles and Fire Control (MFC) production sites.

What You Will Be Doing:

In this role, you will bridge the gap between Factory Production, Quality Engineering, and Advanced Manufacturing teams. You will continuously assess quality inspection processes for automation opportunities and deploy technologies aimed at increasing throughput, reducing costs, and improving product quality. You will partner closely with production sites and Lines of Business (LOBs) to identify opportunities where process improvements and technological automation can be deployed and scaled. Key responsibilities include managing automation projects and integrating factory-floor machines, robotics, sensors, and plant networks for seamless interoperability to optimize inspection and boost production performance.

Duties include, but are not limited to:

Identifying high-impact factory-floor processes for automation and developing business cases with clear ROI justifications.
Designing and deploying automated inspection and test systems (including machine vision) to detect defects early in the production lifecycle.
Evaluating and selecting automation equipment, technologies, and third-party vendors for scalability and seamless integration into current and future manufacturing lines.
Configuring factory-floor layouts for equipment - machines, robotics, sensors, and control systems - and integrating them with plant networks and enterprise MES/ERP systems to ensure seamless data flow.
Collaborating with site-level cross-functional teams and Program Quality Engineering to solve complex technical challenges with a focus on continuous improvement.
Applying hands-on expertise in production operations, manufacturing, and quality control processes.
Driving strategies, best practices, and standard methodologies to strengthen the Quality Management System (QMS) and mentor engineering talent.

Basic Qualifications

Must be a US Citizen and have ability to obtain an Intreim Secret Clearance prior to start.
Bachelor’s degree (or higher) in Electrical Engineering, Mechanical Engineering, Industrial & Systems Engineering, Manufacturing Engineering, or a related STEM discipline.
Hands-on knowledge of industrial controls and manufacturing machinery (e.g., Allen-Bradley or Siemens PLCs, CNC machinery, machine vision inspection systems / OCR).
Experience with manufacturing operations and familiarity with enterprise systems such as SAP, MES, or PLM.
Conceptual knowledge of quality standards and methodologies: AS9100 / ISO 9001, Lean Six Sigma, and Statistical Process Control (SPC).
Basic Knowledge of reading and interpreting engineering drawings, geometric dimensioning and tolerancing (GD&T), specifications, and technical requirements.
Proven understanding of root cause analysis and corrective action (RCCA) methodologies (5 Why, Fishbone, Fault Tree Analysis).
Strong written and verbal communication skills with experience presenting technical concepts to cross-functional teams and senior leadership.

Desired Skills

Hands-on experience deploying robotics applications and automation cells (e.g., FANUC, ABB) in a high-rate manufacturing environment.
Proficiency with Python and SQL for developing automated test scripts, data pipelines, and quality analytics dashboards.
Familiarity with industrial communication protocols (e.g., OPC UA, MQTT, Modbus, Ethernet/IP) for machine data and image transfer.
Working knowledge of CAD/CAM software.
Experience with the complete lifecycle of integrated system design and deployment (e.g., Factory Acceptance Testing [FAT], Site Acceptance Testing [SAT], machinery design, and blueprint sign-off).
Strong data analytics acumen and practical application of advanced statistical tools.
Formal Lean / Six Sigma certification (Green Belt or Black Belt).
Demonstrated ability to thrive and lead in dynamic, fast-paced team environments.

Pay Information Full-Time Salary Range: $104900.00 - $194700.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow - both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.

Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

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Skills

Apply advanced manufacturing
Inspection
Robotics
Control systems
MES
ERP
Process improvement
Quality control
Quality assurance procedures
Electrical engineering
Mechanical engineering
Allen-Bradley
CNC
OCR
SAP
PLM
ISO 9001
Lean manufacturing
Statistical process control
SPC
Root cause analysis
Communication skills
Python
SQL
CAM software
Data analysis
Lean Six Sigma Green Belt
Lean Six Sigma Black Belt

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