Industrial Engineer Jobs in Dallas, TX
Industrial Engineer jobs in Dallas, Texas are concentrated in logistics and distribution hubs near South Dallas and Stemmons Corridor, advanced manufacturing in the Metroplex's Irving and Garland corridors, and aerospace and defense operations throughout the DFW area, with steady demand across supply chain optimization, process improvement, and facilities engineering. Employers hiring right now include Texas Instruments, CBRE, and BGE. Scan the live roles below and apply to whichever ones fit.
Find Industrial Engineer JobsOverview
Open roles131+
Top employerTexas Instruments
Work type100% Remote
Top credentialBachelor's degree in industrial engineering
Companies hiring9
Showing 5 of 131+ Industrial Engineer jobs
Staff Engineer, Industrial (R6037)
We won't show you this job again
Added 4d ago
Shield AI
Staff Engineer, Industrial (R6037)
Dallas, Texas
Added 4d ago
Electrical Engineer (Industrial Automation & Design)
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Added 1w ago
Brock Solutions
Electrical Engineer (Industrial Automation & Design)
Dallas, Texas
Added 1w ago
Career Accelerator Program - Industrial Engineer - North Texas
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Added 2w ago
Texas Instruments
Career Accelerator Program - Industrial Engineer - North Texas
Dallas, Texas
Added 2w ago
North Texas: Industrial Engineer Intern
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Added 2w ago
Texas Instruments
North Texas: Industrial Engineer Intern
Dallas, Texas
Added 2w ago
Structural Engineer - Aerospace & Industrial (Dallas/Ft. Worth)
We won't show you this job again
Added 3w ago
Burns & McDonnell
Structural Engineer - Aerospace & Industrial (Dallas/Ft. Worth)
Dallas, Texas
Added 3w ago
Added 4d ago
Staff Engineer, Industrial (R6037)
Shield AI·Dallas, Texas
Job functions:
$140k - $210k/yr
Bachelor's degree in systems engineering
1,001-5,000 employees
Job Description
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, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. 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.
Job Description:
The Staff Industrial Engineer, Sustainment Analytics, leads data-driven sustainment decisions by integrating maintenance, FRACAS, failure and repair, supply-chain, operational demand, configuration, labor, and fleet-trend data to identify drivers of downtime, maintenance burden, readiness risk, and lifecycle cost. The role translates these insights into structured analyses, defensible trade studies, and actionable recommendations that optimize maintenance levels, repair capability, spares, manpower, support equipment, processes, and sustainment strategy—improving fleet readiness, repair throughput, maintenance effectiveness, and total cost of ownership.
The engineer partners closely with Fleet Support Engineering, Reliability and Maintainability Engineering, Product Engineering, Reliability Data Engineering, Supply Chain, Manufacturing, Finance, and Operations to ensure sustainment decisions improve fleet availability, customer support, affordability, and long-term system performance.
What you'll do:
- Own sustainment decision analysis for fielded aircraft systems, including maintenance-level determinations; repair-versus-replace, repair-location, and repair-capability assessments; spares optimization; manpower analysis; and support-equipment trade studies.
- Build and maintain integrated fleet-readiness and availability models that link reliability, maintainability, maintenance demand, repair turnaround time, inventory and supply lead times, labor availability, operational utilization, repair capacity, and cost to readiness outcomes.
- Develop repair-versus-replace and repair-network business cases that assess discard, organizational/field-level repair, depot or centralized repair, supplier return, and redesign alternatives using repair yield, turnaround time, labor, test-equipment requirements, supply lead times, fleet impact, risk, and lifecycle cost.
- Analyze maintenance records, work orders, failure and repair history, supply and logistics data, labor data, and fleet operations data to identify recurring maintenance burdens, demand drivers, capacity constraints, bottlenecks, readiness risks, and high-value sustainment opportunities.
- Develop demand forecasts, spares recommendations, and provisioning strategies using failure rates, consumption history, repair turnaround times, operational tempo, lead times, service-level targets, and deployment requirements.
- Perform manpower, workload, capacity, and skill-mix analyses to define staffing needs, identify workload constraints and maintenance bottlenecks, and improve repair throughput and maintenance effectiveness.
- Evaluate investments in support equipment, test equipment, tooling, facilities, and repair capability by quantifying capacity, utilization, cost, risk reduction, readiness impact, return on investment, and total lifecycle value.
- Develop lifecycle-cost models and economic trade studies to inform sustainment planning, maintenance-program changes, provisioning decisions, repair-network strategy, and leadership investment decisions.
- Apply Pareto, trend, statistical, sensitivity, and scenario analyses to prioritize actions that improve fleet availability, reduce downtime, lower sustainment cost, and mitigate readiness risk.
- Translate complex analyses into clear recommendations, decision packages, executive-ready briefings, and prioritized action plans for sustainment leadership and cross-functional stakeholders.
- Establish repeatable sustainment analytics processes, including data standards, modeling methods, decision criteria, assumptions management, and lessons-learned feedback loops; mature the capability toward predictive maintenance, condition-based maintenance, and proactive fleet-health decision support.
Required qualifications:
- Bachelor’s degree in Industrial Engineering, Systems Engineering, Operations Research, Data Analytics, or a related technical discipline; equivalent practical experience considered.
- 5+ years of experience in industrial engineering, sustainment, logistics, supportability, maintenance, operations research, fleet operations, aviation sustainment, defense logistics, or other complex hardware-support environments.
- Demonstrated experience using maintenance, reliability, repair, inventory, supply-chain, production, fleet-operations, or fielded-hardware data to develop quantitative analyses and recommendations related to availability, readiness, repair capability, logistics, labor, capacity, cost, and operational performance.
- Experience performing repair-versus-replace, make-versus-buy, repair-capability, or comparable sustainment trade studies; able to build structured models, quantify assumptions, conduct sensitivity analyses, compare alternatives, and communicate uncertainty and risk.
- Proficiency with SQL, Python, Power BI, Tableau, Excel, R, MATLAB, or comparable tools for data analysis, modeling, visualization, and reporting.
- Ability to integrate technical, operational, supply-chain, labor, and financial inputs into practical, data-driven recommendations for complex sustainment decisions while balancing analytical rigor, data limitations, operational urgency, customer impact, fleet readiness, cost, and long-term sustainment needs.
- Strong cross-functional collaboration and communication skills, including the ability to work with engineering, fleet support, supply chain, manufacturing, finance, operations, and analytics teams; develop clear decision packages, technical analyses, recommendations, and leadership-level summaries; and independently drive decisions without direct authority.
Preferred qualifications:
- Familiarity with aviation, defense, aerospace manufacturing, unmanned systems, aircraft sustainment and deployed hardware systems.
- Familiarity with RCCA, FRACAS, PQDR, AS9100, service bulletins, maintenance releases, supply chain and workforce management.
- Proficiency with data analysis and visualization tools such as SQL, Excel, Python, Salesforce, Foundry, or similar platforms.
- Demonstrated ability to collect, clean, join, and structure data from multiple operational, maintenance, failure, or quality systems.
- Experience developing metrics, dashboards, or recurring reports that improved decision-making, increased visibility, or reduced manual reporting effort.
- Demonstrated success identifying and correcting data-quality, traceability, or reporting issues before they affected technical or business decisions.
- Ability to translate complex data into clear, decision-ready information for technical and non-technical audiences.
- Experience supporting military, government, international, or deployed aviation customers.
- Familiarity with ITAR, export-controlled technical data, or controlled customer environments.
- Active Secret or Top Secret clearance.
$140,000 - $210,000 a year
#LI-JM1
#LD
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.
Shield AI
Staff Engineer, Industrial (R6037)
Dallas, Texas
Added 4d ago1,001-5,000 employees
Job functions:
$140k - $210k/yr
Bachelor's degree in systems engineering
Job Description
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, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. 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.
Job Description:
The Staff Industrial Engineer, Sustainment Analytics, leads data-driven sustainment decisions by integrating maintenance, FRACAS, failure and repair, supply-chain, operational demand, configuration, labor, and fleet-trend data to identify drivers of downtime, maintenance burden, readiness risk, and lifecycle cost. The role translates these insights into structured analyses, defensible trade studies, and actionable recommendations that optimize maintenance levels, repair capability, spares, manpower, support equipment, processes, and sustainment strategy—improving fleet readiness, repair throughput, maintenance effectiveness, and total cost of ownership.
The engineer partners closely with Fleet Support Engineering, Reliability and Maintainability Engineering, Product Engineering, Reliability Data Engineering, Supply Chain, Manufacturing, Finance, and Operations to ensure sustainment decisions improve fleet availability, customer support, affordability, and long-term system performance.
What you'll do:
- Own sustainment decision analysis for fielded aircraft systems, including maintenance-level determinations; repair-versus-replace, repair-location, and repair-capability assessments; spares optimization; manpower analysis; and support-equipment trade studies.
- Build and maintain integrated fleet-readiness and availability models that link reliability, maintainability, maintenance demand, repair turnaround time, inventory and supply lead times, labor availability, operational utilization, repair capacity, and cost to readiness outcomes.
- Develop repair-versus-replace and repair-network business cases that assess discard, organizational/field-level repair, depot or centralized repair, supplier return, and redesign alternatives using repair yield, turnaround time, labor, test-equipment requirements, supply lead times, fleet impact, risk, and lifecycle cost.
- Analyze maintenance records, work orders, failure and repair history, supply and logistics data, labor data, and fleet operations data to identify recurring maintenance burdens, demand drivers, capacity constraints, bottlenecks, readiness risks, and high-value sustainment opportunities.
- Develop demand forecasts, spares recommendations, and provisioning strategies using failure rates, consumption history, repair turnaround times, operational tempo, lead times, service-level targets, and deployment requirements.
- Perform manpower, workload, capacity, and skill-mix analyses to define staffing needs, identify workload constraints and maintenance bottlenecks, and improve repair throughput and maintenance effectiveness.
- Evaluate investments in support equipment, test equipment, tooling, facilities, and repair capability by quantifying capacity, utilization, cost, risk reduction, readiness impact, return on investment, and total lifecycle value.
- Develop lifecycle-cost models and economic trade studies to inform sustainment planning, maintenance-program changes, provisioning decisions, repair-network strategy, and leadership investment decisions.
- Apply Pareto, trend, statistical, sensitivity, and scenario analyses to prioritize actions that improve fleet availability, reduce downtime, lower sustainment cost, and mitigate readiness risk.
- Translate complex analyses into clear recommendations, decision packages, executive-ready briefings, and prioritized action plans for sustainment leadership and cross-functional stakeholders.
- Establish repeatable sustainment analytics processes, including data standards, modeling methods, decision criteria, assumptions management, and lessons-learned feedback loops; mature the capability toward predictive maintenance, condition-based maintenance, and proactive fleet-health decision support.
Required qualifications:
- Bachelor’s degree in Industrial Engineering, Systems Engineering, Operations Research, Data Analytics, or a related technical discipline; equivalent practical experience considered.
- 5+ years of experience in industrial engineering, sustainment, logistics, supportability, maintenance, operations research, fleet operations, aviation sustainment, defense logistics, or other complex hardware-support environments.
- Demonstrated experience using maintenance, reliability, repair, inventory, supply-chain, production, fleet-operations, or fielded-hardware data to develop quantitative analyses and recommendations related to availability, readiness, repair capability, logistics, labor, capacity, cost, and operational performance.
- Experience performing repair-versus-replace, make-versus-buy, repair-capability, or comparable sustainment trade studies; able to build structured models, quantify assumptions, conduct sensitivity analyses, compare alternatives, and communicate uncertainty and risk.
- Proficiency with SQL, Python, Power BI, Tableau, Excel, R, MATLAB, or comparable tools for data analysis, modeling, visualization, and reporting.
- Ability to integrate technical, operational, supply-chain, labor, and financial inputs into practical, data-driven recommendations for complex sustainment decisions while balancing analytical rigor, data limitations, operational urgency, customer impact, fleet readiness, cost, and long-term sustainment needs.
- Strong cross-functional collaboration and communication skills, including the ability to work with engineering, fleet support, supply chain, manufacturing, finance, operations, and analytics teams; develop clear decision packages, technical analyses, recommendations, and leadership-level summaries; and independently drive decisions without direct authority.
Preferred qualifications:
- Familiarity with aviation, defense, aerospace manufacturing, unmanned systems, aircraft sustainment and deployed hardware systems.
- Familiarity with RCCA, FRACAS, PQDR, AS9100, service bulletins, maintenance releases, supply chain and workforce management.
- Proficiency with data analysis and visualization tools such as SQL, Excel, Python, Salesforce, Foundry, or similar platforms.
- Demonstrated ability to collect, clean, join, and structure data from multiple operational, maintenance, failure, or quality systems.
- Experience developing metrics, dashboards, or recurring reports that improved decision-making, increased visibility, or reduced manual reporting effort.
- Demonstrated success identifying and correcting data-quality, traceability, or reporting issues before they affected technical or business decisions.
- Ability to translate complex data into clear, decision-ready information for technical and non-technical audiences.
- Experience supporting military, government, international, or deployed aviation customers.
- Familiarity with ITAR, export-controlled technical data, or controlled customer environments.
- Active Secret or Top Secret clearance.
$140,000 - $210,000 a year
#LI-JM1
#LD
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.
See All 131+ Industrial Engineer Jobs in Dallas
Find roles in Dallas that match your experience and apply in just a few clicks.
Find Industrial Engineer JobsIndustrial Engineer Job Market in Dallas
Who's Hiring
- Texas Instruments26
- CBRE13
- BGE13
- Shield AI13
- Oxipital AI13
Industrial Engineer Jobs in Dallas: Frequently Asked Questions
How do I get a industrial engineer job in Dallas?
Focus your search on Dallas's strongest hiring sectors: logistics and distribution, aerospace and defense contractors in the DFW corridor, and large-scale manufacturing operations in Irving, Garland, and Grand Prairie. Roles concentrate outside the urban core in industrial parks and the Metroplex's freight and manufacturing belts. Candidates with lean manufacturing or Six Sigma credentials and hands-on experience with high-throughput operations stand out in this market.
Which companies hire industrial engineers in Dallas?
Employers hiring industrial engineers in Dallas right now include Texas Instruments, CBRE, and BGE, based on current listings on Migrate Mate as of September 2026. The local market skews toward large manufacturers, defense contractors, and third-party logistics providers with major distribution footprints in the DFW Metroplex.
Are there remote industrial engineer jobs in Dallas?
Yes, but industrial engineering is inherently a hands-on discipline, so fully remote roles are less common than in purely analytical fields. About 100% of industrial engineer openings tied to Dallas are remote or hybrid as of September 2026, and those tend to be process improvement, data analysis, or consulting-focused positions rather than plant-floor or facilities roles.
How can I get a industrial engineer job in Dallas with little or no experience?
The most realistic entry path in Dallas is through co-op or internship programs at the Metroplex's large defense contractors and logistics companies, many of which convert strong interns into full-time hires. Entry-level titles like junior process engineer, manufacturing analyst, or operations support engineer are common on-ramps. Familiarity with AutoCAD, ERP systems, and basic lean tools gives early-career candidates a concrete edge with Dallas employers.
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See All 131+ Industrial Engineer Jobs in Dallas
Find roles in Dallas that match your experience and apply in just a few clicks.
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