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3D Glass Solutions

Process Engineer

Career Insights for Production Engineer

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What they do

A Production Engineer combines knowledge of manufacturing technology and engineering sciences with management theory. Designs the production steps, defines and monitors resources needed, and evaluates efficiency of the overall process.

$90,867 / year median in New Mexico

+7% projected growth

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Job Description

Process Engineer 3D Glass Solutions - 3.7 Albuquerque, NM Job Details Full-time 16 hours ago Qualifications Manufacturing facility experience Bachelor's degree in engineering Data-driven problem-solving Semiconductor experience Full Job Description Job/Position Summary This role is ideal for an engineer who enjoys working directly with tools, running experiments, solving problems quickly, and contributing across R D and early manufacturing environments. Primary Responsibilities Provide technical expertise and sustaining support related to manufacturing. Evaluate and improve processes in manufacturing systems through disciplined problem-solving methodology and design of experiments. Maintain reliable and safe manufacturing systems while improving quality, yields, production rates, efficiencies, and reducing costs. Develop innovative solutions and incorporate new methods and processes to improve existing operations. Improve process capability metrics (Cp, Cpk) and production volume while maintaining and improving quality standards. Collect, record, and document data and effectively communicate results with presentations and reports summarizing key results and support effective decision making. Provide suggestions during incident investigations and advise on corrective actions. Inspect materials, products, or equipment to detect defects or malfunctions. Plan and establish a sequence of operations to produce the product and to promote efficient utilization of resources. Implement a process to qualify manufacturing tool stations and operations before committing to the product. Implement a process to qualify technical personnel on manufacturing processes and equipment. Develop tool maintenance procedures and troubleshoot toolset issues. Determine root causes of failures using statistical methods and recommend changes in designs, tolerances, or processing methods. Perform additional functions and other duties as assigned or required. Requirements Bachelor's degree in Science in Engineering. 1-3 years' experience in a semiconductor manufacturing environment. Experience in thin films, lithography, wet etch, and dry etch will be considered. This position will require lawful access to
ITAR/EAR
controlled information, and employees in these roles will need to meet those requirements. Requirements include US Citizenship, US Permanent Resident, or the ability to meet contract-specific licensure requirements. Knowledge, Skills, and Abilities Excellent communication and presentation skills. Experience with project management. Knowledge of manufacturing methods and procedures. Ability to solve technical problems. Knowledge of process improvement strategies. Experience providing technical expertise and sustaining support related to manufacturing. Demonstrated experience working with external and internal partners. Experience in process development, process window characterization, and defect source investigation. Demonstrated strong team dynamics, able to work through complex issues with a diverse team. Have good time management skills, be self-motivated, and have a strong desire to succeed in a challenging environment. Resourceful and have strong problem-solving skills. Familiarity with statistical process control methodologies and engineering analysis tools. Physical/Working Requirements Must be able to wear personal protective gear most of the day (where applicable). Prolonged periods of sitting or standing. Behavioral Traits Strong verbal and written communication skills to convey quality standards, expectations, and feedback clearly to team members and stakeholders. A willingness to adjust to changing circumstances, processes, or technologies for continuous improvement in dynamic environments. The ability to work well with others, fostering a cooperative atmosphere, driving data management initiatives, and engaging all levels of the organization.