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Your mission as a Process Engineer will be packed with challenges and learning opportunities:
Keep the lifeblood of our operations pumping by ensuring unparalleled tool availability across all shifts.
Accelerate the heartbeat of production, optimizing cycle times to set a new standard in manufacturing efficiency.
Combat defects and fine-tune parametric performance, shaping the quality of products that will change the world.
Architect and blueprint the future of material processing operations, from the alchemy of hardening to the precision of etching and beyond.
Dive into the action with hands-on involvement, making your mark on the factory floor where innovation is born.
We're searching for future leaders who bring:
A collaborative spirit and leadership prowess that can turn a group of individuals into a high-performing team.
Exceptional problem-solving abilities and a knack for prioritizing tasks with a laser focus on the details.
Effective communication skills that can bridge the gap between complex ideas and clear, actionable strategies.
As you embark on your journey with us, you'll be required to work on-site, especially during your training period of approximately 6 months, depending on your toolset mastery. Following your training, you'll have the chance to define a hybrid/work from home arrangement with your manager, with the understanding that continued on-site presence will be essential. Full-time remote work is not available for this role.
Candidate must possess the below minimum qualifications to be considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of schoolwork/classes/research and/or relevant previous job and/or internship experiences.Minimum Qualifications:
Pursuing a Masters degree in the fields that are powering the future, including Electrical Engineering, Photonics, Mechanical Engineering, Chemical Engineering, Optoelectronics, Optics, Physics, Material Science, Computer Engineering, or a related engineering discipline.
6+ months hands-on experience with Python, MS Office, Power BI, or Statistical Analysis
6+ months experience with design of experiment (DOE) techniques.
Academic excellence with a maintained minimum 3.0 GPA.
Preferred Qualifications:
Hands-on experience in semiconductor engineering, manufacturing, or development.
Insight into substrate manufacturing that sets you apart.
A passion for programming, particularly Python.
Experience in the realms of photonics, optoelectronics, optical transceiver components, semiconductor or device physics.
Acumen for failure analysis techniques.
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