Howmet Aerospace

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 Job Summary Work independently, or under the direction of the NPI Site Manager, to deliver projects and key initiatives that support effective program management. This role leads and coordinates all new product and program introduction (NPI) activities, ensuring disciplined execution across functions. These efforts are essential to achieving the site's aggressive financial and operational performance objectives. Essential Functions Communicate NPI status to all key stakeholders both internal and customer base. Develop processes for transitioning a product from NPI to operation/production. Ensure that all commercial and technical issues are managed to meet the program requirements, and all program deliverables are accurate, complete and timely. Generate plans and strategies for assured success of the program requirements. Job Responsibilities Responsible for overall supply chain process readiness for NPI: Program focal point through NPI, define and maintain the program Plan of Record (POR). Ensure all elements of the POR are fulfilled and communicate status to all key stakeholders. Prepare and communicate escalations as required to keep program on track with POR milestones and goals. Develop and maintain NPI processes as required. NOTE: Individual may need to flex across all shifts in order to execute duties as necessary Basic Qualifications Bachelor's Degree in a technical field, manufacturing management, or related field. 4 years' experience in program management and/or technical or commercial disciplines. 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 Demonstrated leadership of cross-functional product teams. Highly developed interpersonal and analytical skills. Good PC skills, written & verbal communication skills, problem solving, project management, and organizational skills. Must work well in a team environment and commit to continuous improvement. Program management experience is highly desired. 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 Position Summary We are seeking a Manufacturing Systems Engineering Leader to improve factory performance through the design and optimization of production flow, capacity utilization, inventory management, and operational stability. This role applies data-driven operational principles to reduce lead time, improve throughput, lower WIP inventory, and increase schedule reliability across manufacturing operations. The ideal candidate understands that manufacturing performance emerges from system behavior - including variability, bottlenecks, queueing, and resource constraints - and uses analytical methods to improve overall factory performance rather than isolated local metrics. Job Roles 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 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 Operational accelerator drives continuous improvement; understands ramifications of automation and other advances; advocates for safety, ergonomics and scalable solutions 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 Key Responsibilities Lead Manufacturing Engineering Team Plan meetings, assign tasks, manage staffing, conduct performance reviews, and coach employees in manufacturing engineering discipline. Introduce new hires to EHS rules, company policies, and business initiatives to foster a safe, productive culture. Maintain adherence to all relevant regulations and internal standards Flow & Throughput Optimization Analyze production flow and identify bottlenecks, congestion points, and excessive queueing Improve throughput while balancing labor, equipment utilization, inventory, and lead time Design production systems that minimize variability and improve flow stability Optimize line balancing and workstation design Capacity & Variability Management Monitor utilization levels and identify where excessive loading creates instability Develop buffering strategies for inventory, staffing, and machine capacity Reduce operational variability caused by downtime, scheduling volatility, changeovers, quality losses, and material shortages Support preventive maintenance and reliability initiatives Production Planning & Scheduling Partner with planning teams to improve schedule realism and execution Reduce WIP and manufacturing lead times through pull systems, batch reduction, and improved sequencing Evaluate tradeoffs between responsiveness, inventory, and capacity Data Analysis & Modeling Use operational data to model cycle times, queue behavior, throughput, and capacity Develop KPIs focused on system performance: Throughput On-time delivery WIP inventory Flow time OEE Schedule attainment Conduct simulation or what-if analysis for process changes Continuous Improvement Lead Lean / Six Sigma / Kaizen initiatives grounded in system-level thinking Facilitate root cause analysis for chronic operational instability Implement standard work and visual management systems Drive digital manufacturing initiatives Basic Qualifications Bachelor's degree in Engineering from an accredited institution Minimum of 5 years of experience in Engineering Minimum of 3 years of people leadership experience 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 BS in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Electrical Engineering from an accredited institution Understanding of: Lean Manufacturing Theory of Constraints Queueing concepts Statistical process variation Capacity analysis Production scheduling Experience with ERP/MES systems Strong analytical and communication skills Ability to translate operational data into practical floor-level improvements Thinks in terms of systems rather than isolated departments Comfortable balancing competing operational priorities Uses data but understands human and organizational realities Focuses on sustainable flow instead of short-term utilization metrics Can communicate complex operational tradeoffs to leadership and frontline teams 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 Howmet Aerospace is seeking an exceptional Operations Research Scientist at our Howmet Research Center in Whitehall, MI . This position is part of a multidisciplinary Research & Development team responsible for advancing the state-of-the-art in aerospace manufacturing at our casting, alloy, core and rings manufacturing facilities. This role sits at the intersection of advanced mathematical optimization, digital twin engineering, and AI integration, driving the next generation of intelligent production scheduling and decision support systems across our casting, alloy, core, and rings facilities throughout the world. Role Overview The Operations Research Scientist will design and implement optimization engines and digital twin models with integration of predictive machine learning (ML) components to enable data driven, autonomous decision making. The ideal candidate will have a deep expertise in mathematical optimization and digital twin development, strong analytical maturity, and the ability to independently formulate and validate complex models that support Howmet's facilities. Primary Responsibilities Develop advanced optimization models - Formulate ILP, MILP, MIP, CP, network flow, and scheduling models for complex production planning, sequencing, and resource allocation problems. Build and refine production scheduling engines - Design constraints, objectives, heuristics, and solver strategies; perform scenario analysis and model validation. Develop and maintain digital twin models - Create simulation based and analytical representations of manufacturing systems to support optimization, experimentation, and future agentic AI workflows. Analyze large scale manufacturing datasets - Use Python, SQL, and OR toolkits to extract constraints, validate assumptions, quantify system behavior, and identify bottlenecks. Integrate optimization with ML systems - Collaborate with ML engineers to incorporate cycle time models, scrap risk models, demand forecasts, and other predictive components into optimization workflows. Prototype new mathematical formulations - Explore novel modeling approaches to improve throughput, reduce WIP, and optimize resource utilization. Conduct statistical and multi factor analyses - Evaluate system interactions, constraints, and performance drivers using rigorous quantitative methods. Communicate results effectively - Translate complex optimization and simulation insights into clear recommendations for technical and non technical stakeholders. Collaborate with manufacturing teams - Validate optimization outputs, support plant trials, and integrate solutions into production workflows. Promote an optimization driven culture - Advocate for data driven decision making and the adoption of advanced OR/AI tools across the organization. Basic Qualifications • Graduate degree (MS or PhD) with specialization in operations research. • Demonstrated expertise in ILP/MILP modeling, constraint programming, and solver technologies (Gurobi, CPLEX, OR Tools, Pyomo, PuLP). • Working knowledge of machine learning, feature engineering, and model evaluation. • Demonstrated experience in digital twin development and simulation modeling • 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 applicants ability to lawfully obtain access to such items. Preferred Qualifications • 5+ years of experience in operations research, optimization modeling, or production scheduling. • Hands on experience implementing optimization models in Python, including data preparation, model construction, and solver integration. • Ability to independently design, test, and validate new mathematical formulations. • Experience applying OR techniques to manufacturing, supply chain, or industrial systems. • Experience developing large scale scheduling models (job shop, flow shop, batching, resource constrained scheduling). • Familiarity with stochastic optimization, robust optimization, or reinforcement learning for decision making. • Strong statistical background and experience analyzing industrial/manufacturing data. • Exceptional communication skills and ability to work both independently and in cross functional teams. 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 This Coatings Engineer position will be in our Plant 4, Thermatech Coatings Operation and will support manufacturing through process control, improvement initiatives, and assume direct responsibility for integrity for assigned products. This position will also establish and maintain external & internal customer associate documents; prepare part-specific work instructions; maintain knowledge of job cost; and develop/implement appropriate plans to improve profitability. Job Responsibilities This position is responsible for developing robust processes that consistently meet or exceed our customers' requirements for the metallurgical quality and performance of aerospace components. Also, continuous improvement of processes by improving methods and developing new methods of manufacturing, leading to increased yields and reduced labor content. External customer escapes - Investigates and analyzes root cause; Develops and implements correction action plans. Part qualification and re-qualification - Works with customers to qualify new parts to be coated at Thermatech. Determines and supports manufacturing requirements necessary to meet customer requirements; Performs metallurgical investigations; Assembles process documentation per customer requirements. Process Development and Improvement - Monitors/analyzes yield, labor, and materials data to develop process improvement ideas for new and established processes. Manufacturing Support - Monitors manufacturing output to ensure process control; Responds to manufacturing needs: training, work instructions and interpretation; Creates and updates work instructions needed to perform manufacturing processes. General Technical Support - Conducts meetings and provides technical data to meet customer needs. NPI Concurrent Engineering - Conducts meetings with customers to review design concepts. Quotation Prep - Develops material, scrap and labor costs for cost modeling. Tooling Development and Build - Attends NPI meeting and provides input based on customer specifications for BOM, routings and milestone plans. Job Roles 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 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 Operational accelerator drives continuous improvement; understands ramifications of automation and other advances; advocates for safety, ergonomics and scalable solutions 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 Basic Qualifications: Bachelor's Degree in Engineering from an accredited institution 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: Bachelor's Degree in Chemical, Materials, Mechanical or Metallurgical Engineering from an accredited institution Previous internship or co-op experience in a manufacturing environment or lab environment Experience with investment casting, aerospace coatings (CVD, EB-PVD, Thermal Spray), grit blasting, electroplating and/or chemical surface cleaning Strong verbal, written, and analytical skills Knowledge of MS Office, PowerBI, Minitab Able to work in a self-directed or team environment and have strong organizational skills Knowledge of Lean Six Sigma, statistical analysis, and scientific methods for problem solving 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