Job Description Job Description The Process Modeler Engineer position is located in Whitehall, Michigan at our Howmet Research Center (HRC), and involves working in a close team environment performing a combination of development and support for Howmet Engines Casting facilities. Primary Responsibilities: • Constructing and solving large 3-D finite element models of supplied electronic data for prediction and reduction of as-cast defects in our single crystal, directionally solidified and equiaxed product lines. • Development and improvement of the procedures, boundary conditions, material databases and application of process modeling for investment casting foundry applications. • Expansion of application of general heat transfer and fluid dynamics modeling applications within Howmet Engines. • Advance technical capability of Howmet's castings through simulated design Basic Qualifications • An MS or PhD Degree in an Engineering Discipline. • The ability to set up and analyze fluid flow, heat transfer and stress/strain analyses of Howmet Engines' manufacturing processes. • A minimum of 2 years of experience in finite element casting simulation, thermal analysis, stress/strain analysis or computational fluid dynamics analysis and advanced CAD experience required. • Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. • This position entails access to export-controlled item and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items. Preferred Qualifications • More than 3 years of metal casting industry experience • Extensive working knowledge of ProCAST, finite element analysis, and/or computational fluid dynamics. • Computer programing skills: python and/or c/C++ or fortran programing experience, xml, experience with Access, MySQL relational databases and MS Office Tools. Linux user experience / system admin experience a plus. • Knowledge of investment casting manufacturing process and/or hot forming processes • Experience with JMatPro (or other CALPHAD computer software). • Knowledge and training in physical metallurgy and mechanics of materials • Strong verbal and written communication skills. Excellent analytical skills. • Ability to work in a self-directed or team environment. • Strong organizational skills. Company Description Howmet Aerospace, headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit
07/24/2026
Full time
Job Description Job Description The Process Modeler Engineer position is located in Whitehall, Michigan at our Howmet Research Center (HRC), and involves working in a close team environment performing a combination of development and support for Howmet Engines Casting facilities. Primary Responsibilities: • Constructing and solving large 3-D finite element models of supplied electronic data for prediction and reduction of as-cast defects in our single crystal, directionally solidified and equiaxed product lines. • Development and improvement of the procedures, boundary conditions, material databases and application of process modeling for investment casting foundry applications. • Expansion of application of general heat transfer and fluid dynamics modeling applications within Howmet Engines. • Advance technical capability of Howmet's castings through simulated design Basic Qualifications • An MS or PhD Degree in an Engineering Discipline. • The ability to set up and analyze fluid flow, heat transfer and stress/strain analyses of Howmet Engines' manufacturing processes. • A minimum of 2 years of experience in finite element casting simulation, thermal analysis, stress/strain analysis or computational fluid dynamics analysis and advanced CAD experience required. • Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. • This position entails access to export-controlled item and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items. Preferred Qualifications • More than 3 years of metal casting industry experience • Extensive working knowledge of ProCAST, finite element analysis, and/or computational fluid dynamics. • Computer programing skills: python and/or c/C++ or fortran programing experience, xml, experience with Access, MySQL relational databases and MS Office Tools. Linux user experience / system admin experience a plus. • Knowledge of investment casting manufacturing process and/or hot forming processes • Experience with JMatPro (or other CALPHAD computer software). • Knowledge and training in physical metallurgy and mechanics of materials • Strong verbal and written communication skills. Excellent analytical skills. • Ability to work in a self-directed or team environment. • Strong organizational skills. Company Description Howmet Aerospace, headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit
Job Description Job Description NDT Automated Defect Review - Design, configure, and optimize ADR workflows using NDT modalities such as UT, RT, EC, MT, PT, or thermography. Implement automated defect classification, signal processing, and review logic. Automation System Integration - Integrate ADR systems with robotics, PLCs, MES, SCADA, and automotive production lines. Ensure seamless communication between inspection hardware, automation controllers, and quality databases. Inspection Data Analysis - Analyze NDT data trends, defect signatures, and system performance. Develop algorithms or rulesets to improve detection accuracy and reduce false positives. Process Optimization - Identify bottlenecks in inspection and automation workflows. Implement improvements that increase throughput, reduce scrap, and enhance repeatability. Root Cause & Corrective Action - Lead investigations into defect trends, equipment failures, and process deviations using structured problem solving methodologies. System Validation & Calibration - Conduct validation, calibration, and capability studies for ADR and NDT systems to ensure compliance with automotive quality standards. Cross Functional Collaboration - Partner with Quality, Production, Maintenance, and NDT Level II/III personnel to ensure inspection systems meet operational and regulatory requirements. Documentation & Compliance - Maintain technical documentation, inspection procedures, and compliance records aligned with automotive and NDT standards. Continuous Improvement - Drive initiatives aligned with Lean, Six Sigma, and Industry 4.0, focusing on automation, digital inspection, and data driven quality. Required Qualifications Bachelor's degree in Mechanical, Industrial, Manufacturing Engineering, Automation Engineering, NDT Technology, or related field 3+ years of manufacturing engineering experience, preferably in automotive or other high volume production Hands on experience with NDT (FPI, PT, and X-Ray RT at minimum) inspection systems and ADR technologies Proficiency with programming robotics and industrial automation hardware Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. This position entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items. Preferred Qualifications NDT Level II or III certification in one or more modalities. Experience with AI based defect classification or machine learning inspection platforms. Familiarity with digital radiography, phased array UT, or advanced NDT technologies. Experience integrating ADR systems with MES/SCADA. Certifications in Lean, Six Sigma, or automation technologies. Experience supporting launch environments or new model introductions. Company Description Howmet Aerospace, headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit
07/24/2026
Full time
Job Description Job Description NDT Automated Defect Review - Design, configure, and optimize ADR workflows using NDT modalities such as UT, RT, EC, MT, PT, or thermography. Implement automated defect classification, signal processing, and review logic. Automation System Integration - Integrate ADR systems with robotics, PLCs, MES, SCADA, and automotive production lines. Ensure seamless communication between inspection hardware, automation controllers, and quality databases. Inspection Data Analysis - Analyze NDT data trends, defect signatures, and system performance. Develop algorithms or rulesets to improve detection accuracy and reduce false positives. Process Optimization - Identify bottlenecks in inspection and automation workflows. Implement improvements that increase throughput, reduce scrap, and enhance repeatability. Root Cause & Corrective Action - Lead investigations into defect trends, equipment failures, and process deviations using structured problem solving methodologies. System Validation & Calibration - Conduct validation, calibration, and capability studies for ADR and NDT systems to ensure compliance with automotive quality standards. Cross Functional Collaboration - Partner with Quality, Production, Maintenance, and NDT Level II/III personnel to ensure inspection systems meet operational and regulatory requirements. Documentation & Compliance - Maintain technical documentation, inspection procedures, and compliance records aligned with automotive and NDT standards. Continuous Improvement - Drive initiatives aligned with Lean, Six Sigma, and Industry 4.0, focusing on automation, digital inspection, and data driven quality. Required Qualifications Bachelor's degree in Mechanical, Industrial, Manufacturing Engineering, Automation Engineering, NDT Technology, or related field 3+ years of manufacturing engineering experience, preferably in automotive or other high volume production Hands on experience with NDT (FPI, PT, and X-Ray RT at minimum) inspection systems and ADR technologies Proficiency with programming robotics and industrial automation hardware Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. This position entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items. Preferred Qualifications NDT Level II or III certification in one or more modalities. Experience with AI based defect classification or machine learning inspection platforms. Familiarity with digital radiography, phased array UT, or advanced NDT technologies. Experience integrating ADR systems with MES/SCADA. Certifications in Lean, Six Sigma, or automation technologies. Experience supporting launch environments or new model introductions. Company Description Howmet Aerospace, headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit
Job Description Job Description As a data engineer at the Howmet Research Center, you will join a team of Data Scientists and Machine Learning Engineers. This team is part of a multidisciplinary IGT group responsible for advancing the state-of-the-art in aerospace manufacturing at our casting, alloy, core and rings manufacturing facilities. You are a great fit for this team if you have the innate curiosity necessary to learn new processes, meet new people, and are persistently detail-oriented with a quality mindset. If you enjoy matching complex physical processes to corresponding data across multiple data sources, and transforming the data into reliable, documented datasets for use in machine learning, reporting, and visualization tools, we would love to talk with you! Job Role: Up to 50% travel including internationally to France, UK and Germany Initiate working with manufacturing plant personnel to understand the detailed manufacturing process and data collection user interfaces Initiate working with corporate and local IT to understand the data storage and sources that correlate to the plant process, and the most efficient way to query them Query multiple data sources and join the data together to accurately represent the process Explore the data to identify edge cases, data cleaning requirements, and bias - using statistics as necessary Down-select, augment, and clean the dataset Iterate the above steps to generate a representative and reliable dataset, checking your own work and being able to explain it to others at multiple levels of the organization Collaborate with Data Scientists and Machine Learning Engineers to understand model input requirements Transform the data to meet machine learning model input requirements Provide post-modeling functions to translate model results to process-relatable values Actively participate in leveling up proof-of-concept code to productionized scripts Document projects in Power Point and reusable code, storing work in a revision-controlled system Basic Qualifications: Bachelor's degree in engineering, Data Analysis, Data Science, Computer Science, or Information Systems Must have experience in basic SQL querying skills Demonstrated ability to transform data with a programming language Strong working knowledge of Microsoft Office skills (Word, Excel, PowerPoint, Visio) Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. Company Description Howmet Aerospace, headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit
07/24/2026
Full time
Job Description Job Description As a data engineer at the Howmet Research Center, you will join a team of Data Scientists and Machine Learning Engineers. This team is part of a multidisciplinary IGT group responsible for advancing the state-of-the-art in aerospace manufacturing at our casting, alloy, core and rings manufacturing facilities. You are a great fit for this team if you have the innate curiosity necessary to learn new processes, meet new people, and are persistently detail-oriented with a quality mindset. If you enjoy matching complex physical processes to corresponding data across multiple data sources, and transforming the data into reliable, documented datasets for use in machine learning, reporting, and visualization tools, we would love to talk with you! Job Role: Up to 50% travel including internationally to France, UK and Germany Initiate working with manufacturing plant personnel to understand the detailed manufacturing process and data collection user interfaces Initiate working with corporate and local IT to understand the data storage and sources that correlate to the plant process, and the most efficient way to query them Query multiple data sources and join the data together to accurately represent the process Explore the data to identify edge cases, data cleaning requirements, and bias - using statistics as necessary Down-select, augment, and clean the dataset Iterate the above steps to generate a representative and reliable dataset, checking your own work and being able to explain it to others at multiple levels of the organization Collaborate with Data Scientists and Machine Learning Engineers to understand model input requirements Transform the data to meet machine learning model input requirements Provide post-modeling functions to translate model results to process-relatable values Actively participate in leveling up proof-of-concept code to productionized scripts Document projects in Power Point and reusable code, storing work in a revision-controlled system Basic Qualifications: Bachelor's degree in engineering, Data Analysis, Data Science, Computer Science, or Information Systems Must have experience in basic SQL querying skills Demonstrated ability to transform data with a programming language Strong working knowledge of Microsoft Office skills (Word, Excel, PowerPoint, Visio) Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. Company Description Howmet Aerospace, headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit
Job Description Job Description As a senior controls specialist you will design, program, install and maintain industrial control systems (PLC, SCADA, robotics) while enabling seamless integration of AI outputs for intelligent, adaptive automation on the factory floor. This role bridges operational technology (OT) and AI platforms to implement real-time decision-making, predictive maintenance triggers, and closed-loop process control. The Controls Engineer ensures system reliability, safety, and scalability as the company advances toward Industry 4.0 capabilities. Job Role: Analysis and synthesis measures and interprets with exactness; ensures integrity of data; invites possibilities, improvements and scale based on data captured or from a data informed perspective Systems thinker sees the business and its operation holistically; understands actions and reactions; considers multiple pathways of potential effect before decisions; thinks strategically about interventions with an eye toward scale Hands on -designs, programs, installs and maintains industrial control systems (PLC, SCADA, robotics) Optimizer constantly challenging the organization to work smarter; supports others to ensure they have what they need to do their work successfully Anticipation looks ahead to minimize potential issues and maximize advantages; prepares others for what comes next Best Practice - Utilizes knowledge of best practice approaches to pursue common systems and components to reduce complexity where possible Operational accelerator drives continuous improvement; understands ramifications of automation and other advances; advocates for safety, ergonomics and scalable solutions; initiates and collaborates with plant leadership to drive improvements identified by AI Organization and structure works within existing structures while striving to improve and standardize them; provides accurate information; galvanizes others toward common goals Influence leverages knowledge, relationship, data and perspective to persuade, educate and navigate; gains buy in and adoption of ideas and practices at scale; interacts with a variety of stakeholders Data informed focused on things that drive quantifiable business outcomes; evaluates based on quantitative feedback; knows and explains the "why" behind actions Prioritized reaction handles the unexpected without losing sight of important objectives; reacts where greatest leverage points exist Relationship connects individually and with teams across shifts and practices; builds rapport and commonality; creates a "win together" ethic; serves as liaison between shop floor and engineering; keeps the pulse of the floor; helps people feel heard Responsibilities: Design, program, and maintain control systems (PLC, SCADA, DCS, robotics) with AI/ML (machine learning) integration for adaptive control and edge computing. Integrate AI outputs into control loops (e.g., predictive maintenance triggers or anomaly-based shutdowns). Troubleshoot, optimize, and upgrade existing automation to support Basic Qualifications: 2 years of process control experience 3+ years of experience in manufacturing Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. Preferred Qualifications: Strong PLC (Allen-Bradley/Siemens), HMI, and networking skills Experience with Python or AI edge tools 3+ years of automation experience in a manufacturing environment Company Description Howmet Aerospace, headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit
07/24/2026
Full time
Job Description Job Description As a senior controls specialist you will design, program, install and maintain industrial control systems (PLC, SCADA, robotics) while enabling seamless integration of AI outputs for intelligent, adaptive automation on the factory floor. This role bridges operational technology (OT) and AI platforms to implement real-time decision-making, predictive maintenance triggers, and closed-loop process control. The Controls Engineer ensures system reliability, safety, and scalability as the company advances toward Industry 4.0 capabilities. Job Role: Analysis and synthesis measures and interprets with exactness; ensures integrity of data; invites possibilities, improvements and scale based on data captured or from a data informed perspective Systems thinker sees the business and its operation holistically; understands actions and reactions; considers multiple pathways of potential effect before decisions; thinks strategically about interventions with an eye toward scale Hands on -designs, programs, installs and maintains industrial control systems (PLC, SCADA, robotics) Optimizer constantly challenging the organization to work smarter; supports others to ensure they have what they need to do their work successfully Anticipation looks ahead to minimize potential issues and maximize advantages; prepares others for what comes next Best Practice - Utilizes knowledge of best practice approaches to pursue common systems and components to reduce complexity where possible Operational accelerator drives continuous improvement; understands ramifications of automation and other advances; advocates for safety, ergonomics and scalable solutions; initiates and collaborates with plant leadership to drive improvements identified by AI Organization and structure works within existing structures while striving to improve and standardize them; provides accurate information; galvanizes others toward common goals Influence leverages knowledge, relationship, data and perspective to persuade, educate and navigate; gains buy in and adoption of ideas and practices at scale; interacts with a variety of stakeholders Data informed focused on things that drive quantifiable business outcomes; evaluates based on quantitative feedback; knows and explains the "why" behind actions Prioritized reaction handles the unexpected without losing sight of important objectives; reacts where greatest leverage points exist Relationship connects individually and with teams across shifts and practices; builds rapport and commonality; creates a "win together" ethic; serves as liaison between shop floor and engineering; keeps the pulse of the floor; helps people feel heard Responsibilities: Design, program, and maintain control systems (PLC, SCADA, DCS, robotics) with AI/ML (machine learning) integration for adaptive control and edge computing. Integrate AI outputs into control loops (e.g., predictive maintenance triggers or anomaly-based shutdowns). Troubleshoot, optimize, and upgrade existing automation to support Basic Qualifications: 2 years of process control experience 3+ years of experience in manufacturing Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. Preferred Qualifications: Strong PLC (Allen-Bradley/Siemens), HMI, and networking skills Experience with Python or AI edge tools 3+ years of automation experience in a manufacturing environment Company Description Howmet Aerospace, headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit
Job Description: Job Description As a senior controls specialist you will design, program, install and maintain industrial control systems (PLC, SCADA, robotics) while enabling seamless integration of AI outputs for intelligent, adaptive automation on the factory floor. This role bridges operational technology (OT) and AI platforms to implement real-time decision-making, predictive maintenance triggers, and closed-loop process control. The Controls Engineer ensures system reliability, safety, and scalability as the company advances toward Industry 4.0 capabilities. Job Role:Analysis and synthesis measures and interprets with exactness; ensures integrity of data; invites possibilities, improvements and scale based on data captured or from a data informed perspectiveSystems thinker sees the business and its operation holistically; understands actions and reactions; considers multiple pathways of potential effect before decisions; thinks strategically about interventions with an eye toward scaleHands on-designs, programs, installs and maintains industrial control systems (PLC, SCADA, robotics)Optimizer constantly challenging the organization to work smarter; supports others to ensure they have what they need to do their work successfullyAnticipation looks ahead to minimize potential issues and maximize advantages; prepares others for what comes nextBest Practice - Utilizes knowledge of best practice approaches to pursue common systems and components to reduce complexity where possibleOperational accelerator drives continuous improvement; understands ramifications of automation and other advances; advocates for safety, ergonomics and scalable solutions; initiates and collaborates with plant leadership to drive improvements identified by AIOrganization and structure works within existing structures while striving to improve and standardize them; provides accurate information; galvanizes others toward common goalsInfluence leverages knowledge, relationship, data and perspective to persuade, educate and navigate; gains buy in and adoption of ideas and practices at scale; interacts with a variety of stakeholdersData informed focused on things that drive quantifiable business outcomes; evaluates based on quantitative feedback; knows and explains the "why" behind actionsPrioritized reaction handles the unexpected without losing sight of important objectives; reacts where greatest leverage points existRelationship connects individually and with teams across shifts and practices; builds rapport and commonality; creates a "win together" ethic; serves as liaison between shop floor and engineering; keeps the pulse of the floor; helps people feel heard Responsibilities:Design, program, and maintain control systems (PLC, SCADA, DCS, robotics) with AI/ML (machine learning) integration for adaptive control and edge computing.Integrate AI outputs into control loops (e.g., predictive maintenance triggers or anomaly-based shutdowns).Troubleshoot, optimize, and upgrade existing automation to support Basic Qualifications:2 years of process control experience3+ years of experience in manufacturing Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. Preferred Qualifications:Strong PLC (Allen-Bradley/Siemens), HMI, and networking skillsExperience with Python or AI edge tools3+ years of automation experience in a manufacturing environment Company Description Howmet Aerospace, headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit
07/24/2026
Full time
Job Description: Job Description As a senior controls specialist you will design, program, install and maintain industrial control systems (PLC, SCADA, robotics) while enabling seamless integration of AI outputs for intelligent, adaptive automation on the factory floor. This role bridges operational technology (OT) and AI platforms to implement real-time decision-making, predictive maintenance triggers, and closed-loop process control. The Controls Engineer ensures system reliability, safety, and scalability as the company advances toward Industry 4.0 capabilities. Job Role:Analysis and synthesis measures and interprets with exactness; ensures integrity of data; invites possibilities, improvements and scale based on data captured or from a data informed perspectiveSystems thinker sees the business and its operation holistically; understands actions and reactions; considers multiple pathways of potential effect before decisions; thinks strategically about interventions with an eye toward scaleHands on-designs, programs, installs and maintains industrial control systems (PLC, SCADA, robotics)Optimizer constantly challenging the organization to work smarter; supports others to ensure they have what they need to do their work successfullyAnticipation looks ahead to minimize potential issues and maximize advantages; prepares others for what comes nextBest Practice - Utilizes knowledge of best practice approaches to pursue common systems and components to reduce complexity where possibleOperational accelerator drives continuous improvement; understands ramifications of automation and other advances; advocates for safety, ergonomics and scalable solutions; initiates and collaborates with plant leadership to drive improvements identified by AIOrganization and structure works within existing structures while striving to improve and standardize them; provides accurate information; galvanizes others toward common goalsInfluence leverages knowledge, relationship, data and perspective to persuade, educate and navigate; gains buy in and adoption of ideas and practices at scale; interacts with a variety of stakeholdersData informed focused on things that drive quantifiable business outcomes; evaluates based on quantitative feedback; knows and explains the "why" behind actionsPrioritized reaction handles the unexpected without losing sight of important objectives; reacts where greatest leverage points existRelationship connects individually and with teams across shifts and practices; builds rapport and commonality; creates a "win together" ethic; serves as liaison between shop floor and engineering; keeps the pulse of the floor; helps people feel heard Responsibilities:Design, program, and maintain control systems (PLC, SCADA, DCS, robotics) with AI/ML (machine learning) integration for adaptive control and edge computing.Integrate AI outputs into control loops (e.g., predictive maintenance triggers or anomaly-based shutdowns).Troubleshoot, optimize, and upgrade existing automation to support Basic Qualifications:2 years of process control experience3+ years of experience in manufacturing Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. Preferred Qualifications:Strong PLC (Allen-Bradley/Siemens), HMI, and networking skillsExperience with Python or AI edge tools3+ years of automation experience in a manufacturing environment Company Description Howmet Aerospace, headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit
Job Description: Job Description As a senior controls specialist you will design, program, install and maintain industrial control systems (PLC, SCADA, robotics) while enabling seamless integration of AI outputs for intelligent, adaptive automation on the factory floor. This role bridges operational technology (OT) and AI platforms to implement real-time decision-making, predictive maintenance triggers, and closed-loop process control. The Controls Engineer ensures system reliability, safety, and scalability as the company advances toward Industry 4.0 capabilities. Job Role:Analysis and synthesis measures and interprets with exactness; ensures integrity of data; invites possibilities, improvements and scale based on data captured or from a data informed perspectiveSystems thinker sees the business and its operation holistically; understands actions and reactions; considers multiple pathways of potential effect before decisions; thinks strategically about interventions with an eye toward scaleHands on-designs, programs, installs and maintains industrial control systems (PLC, SCADA, robotics)Optimizer constantly challenging the organization to work smarter; supports others to ensure they have what they need to do their work successfullyAnticipation looks ahead to minimize potential issues and maximize advantages; prepares others for what comes nextBest Practice - Utilizes knowledge of best practice approaches to pursue common systems and components to reduce complexity where possibleOperational accelerator drives continuous improvement; understands ramifications of automation and other advances; advocates for safety, ergonomics and scalable solutions; initiates and collaborates with plant leadership to drive improvements identified by AIOrganization and structure works within existing structures while striving to improve and standardize them; provides accurate information; galvanizes others toward common goalsInfluence leverages knowledge, relationship, data and perspective to persuade, educate and navigate; gains buy in and adoption of ideas and practices at scale; interacts with a variety of stakeholdersData informed focused on things that drive quantifiable business outcomes; evaluates based on quantitative feedback; knows and explains the "why" behind actionsPrioritized reaction handles the unexpected without losing sight of important objectives; reacts where greatest leverage points existRelationship connects individually and with teams across shifts and practices; builds rapport and commonality; creates a "win together" ethic; serves as liaison between shop floor and engineering; keeps the pulse of the floor; helps people feel heard Responsibilities:Design, program, and maintain control systems (PLC, SCADA, DCS, robotics) with AI/ML (machine learning) integration for adaptive control and edge computing.Integrate AI outputs into control loops (e.g., predictive maintenance triggers or anomaly-based shutdowns).Troubleshoot, optimize, and upgrade existing automation to support Basic Qualifications:2 years of process control experience3+ years of experience in manufacturing Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. Preferred Qualifications:Strong PLC (Allen-Bradley/Siemens), HMI, and networking skillsExperience with Python or AI edge tools3+ years of automation experience in a manufacturing environment Company Description Howmet Aerospace, headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit
07/24/2026
Full time
Job Description: Job Description As a senior controls specialist you will design, program, install and maintain industrial control systems (PLC, SCADA, robotics) while enabling seamless integration of AI outputs for intelligent, adaptive automation on the factory floor. This role bridges operational technology (OT) and AI platforms to implement real-time decision-making, predictive maintenance triggers, and closed-loop process control. The Controls Engineer ensures system reliability, safety, and scalability as the company advances toward Industry 4.0 capabilities. Job Role:Analysis and synthesis measures and interprets with exactness; ensures integrity of data; invites possibilities, improvements and scale based on data captured or from a data informed perspectiveSystems thinker sees the business and its operation holistically; understands actions and reactions; considers multiple pathways of potential effect before decisions; thinks strategically about interventions with an eye toward scaleHands on-designs, programs, installs and maintains industrial control systems (PLC, SCADA, robotics)Optimizer constantly challenging the organization to work smarter; supports others to ensure they have what they need to do their work successfullyAnticipation looks ahead to minimize potential issues and maximize advantages; prepares others for what comes nextBest Practice - Utilizes knowledge of best practice approaches to pursue common systems and components to reduce complexity where possibleOperational accelerator drives continuous improvement; understands ramifications of automation and other advances; advocates for safety, ergonomics and scalable solutions; initiates and collaborates with plant leadership to drive improvements identified by AIOrganization and structure works within existing structures while striving to improve and standardize them; provides accurate information; galvanizes others toward common goalsInfluence leverages knowledge, relationship, data and perspective to persuade, educate and navigate; gains buy in and adoption of ideas and practices at scale; interacts with a variety of stakeholdersData informed focused on things that drive quantifiable business outcomes; evaluates based on quantitative feedback; knows and explains the "why" behind actionsPrioritized reaction handles the unexpected without losing sight of important objectives; reacts where greatest leverage points existRelationship connects individually and with teams across shifts and practices; builds rapport and commonality; creates a "win together" ethic; serves as liaison between shop floor and engineering; keeps the pulse of the floor; helps people feel heard Responsibilities:Design, program, and maintain control systems (PLC, SCADA, DCS, robotics) with AI/ML (machine learning) integration for adaptive control and edge computing.Integrate AI outputs into control loops (e.g., predictive maintenance triggers or anomaly-based shutdowns).Troubleshoot, optimize, and upgrade existing automation to support Basic Qualifications:2 years of process control experience3+ years of experience in manufacturing Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position. Preferred Qualifications:Strong PLC (Allen-Bradley/Siemens), HMI, and networking skillsExperience with Python or AI edge tools3+ years of automation experience in a manufacturing environment Company Description Howmet Aerospace, headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit