Design, develop, validate, and maintain workforce models and simulation capabilities to evaluate force structure changes, workforce flows, training pipelines, and readiness impacts, supporting workforce optimization and leadership decision-making.
Compensation
W2 Hourly rate: $45-$55. Pay rates are based on experience, qualifications, location, and certifications, and are subject to change at any time.
Responsibilities
Analyze, integrate, and prepare workforce, training, readiness, and force structure data from sources such as Envision, STARS DMOG, AFMA, ARM, LCOM, and AETC systems.
Develop and maintain workforce flow models, net flow analyses, and workforce health assessments to identify key drivers, bottlenecks, and constraints across the 2A force generation enterprise.
Design, develop, calibrate, and validate simulation models, including Discrete Event Simulation and System Dynamics, to evaluate workforce planning scenarios and force structure alternatives.
Apply quantitative analysis and forecasting techniques to assess workforce trends and readiness impacts.
Develop visualizations, dashboards, technical documentation, and analytical products to communicate findings and support leadership decision-making.
Requirements
Nice to have: Experience with Discrete Event Simulation modeling
Lead wet etch and cleaning formulation development for advanced semiconductor applications.
Responsibilities
Lead the design and development of wet etch and cleaning formulations for advanced semiconductor materials and process applications.
Build fundamental understanding of formulation composition, reaction kinetics, selectivity, etch rate, surface condition, residue removal, and materials compatibility.
Design and execute laboratory studies to screen acids, bases, oxidizers, inhibitors, chelators, surfactants, solvents, and other functional additives while maintaining safe chemical-handling practices.
Develop and test hypotheses regarding reaction and inhibition mechanisms using analytical characterization, statistically robust experimental designs, and literature or patent review.
Partner with process and application engineers to evaluate formulation performance using coupons, patterned wafers, and full-wafer tests, and establish correlation across laboratory and wafer-scale results.
Requirements
MS or PhD in Chemistry, Chemical Engineering, Materials Science, Physical Chemistry, Electrochemistry, Surface Science, or a closely related field.
Leads strategy and execution of industrial engineering, network optimization, capacity planning, automation, and engineering governance across PetSmart's distribution network.
Responsibilities
Develop and execute the Supply Chain Engineering strategy supporting network growth and operational excellence.
Lead Industrial Engineering, Network Optimization, Capacity Planning, Automation, and Facility Design functions.
Establish engineering standards, governance, and best practices that improve consistency, productivity, and scalability.
Build and develop a high-performing engineering organization through coaching, succession planning, and continuous improvement.
Lead network design, facility planning, and optimization initiatives that improve throughput, capacity, service levels, and cost performance.
Requirements
Bachelor's degree in Engineering, Supply Chain, Operations, Logistics, Business, or related field
Senior Area Transformation Industrial Engineer to support production within the Effectors portfolio of factories in Tucson, AZ to maximize throughput, improve efficiency, and deliver increasing value to the customer.
Compensation
The salary range for this role is 86,800 USD - 165,200 USD.
Responsibilities
Partner closely with Factory Industrial Engineers and Program Industrial Engineers to create predictable manufacturing systems.
Analyze manufacturing system performance to identify undesirable effects and opportunities for improvement.
Calculate resource utilization and identify throughput constraints.
Apply Six Sigma and Lean Manufacturing principles to eliminate constraints, improve efficiency, and meet or exceed cost, quality, and on-time delivery goals.
Create process flows, value stream maps, pareto charts, spaghetti diagrams, and CAD drawings to graphically show manufacturing processes, the movement of material, the exchange of information, and key metrics.
Requirements
Bachelor’s or Master’s degree in Industrial Engineering, Systems Engineering, or Manufacturing Engineering
Nice to have: Six Sigma certifications
Nice to have: Experience with factory layout and work cell design/optimization
Nice to have: Experience with simulation modeling and capacity analysis tools/methods