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HC1316 GE Precision Healthcare LLC is seeking a Senior Process Engineer at their State College, PA site. The role involves supporting the transfer of ultrasound transducer programs from R&D to production and ensuring that manufacturing processes meet quality and regulatory requirements.
The ideal candidate will hold a Bachelor’s degree in Engineering or Science, with a minimum of 5 years of manufacturing experience. This position includes opportunities for continuous improvement and requires strong technical knowledge of materials used in manufacturing.
The Senior Process Engineer supports the transfer of ultrasound transducer programs from R&D into regulated production, ensuring manufacturing processes meet quality, regulatory, cost, and delivery requirements. Serves as a technical partner to R&D, Quality, Operations, and Supply Chain during product introduction, process qualification, and issue resolution. Leads continuous improvement initiatives to improve process capability, yield, and operational efficiency. Owns and improves manufacturing documentation, work instructions, and operator training to enable consistent, repeatable production. Demonstrates working knowledge of materials used in ultrasound transducer manufacturing, including ceramics, polymers, epoxies, adhesives, and solvents, with consideration for usability, environmental impact, and long‑term reliability. Applies fixture design principles and understands how fixture characteristics influence downstream product performance and measurement outcomes.
On‑site position at the State College, PA manufacturing site. At our State College site, teams design, manufacture, and service diagnostic medical ultrasound transducers (probes) used across a wide range of clinical applications including surgery, urology, cardiology, and radiology. As a high‑mix, low‑volume, regulated manufacturing environment, the site combines advanced engineering, precision manufacturing, and lifecycle support to deliver critical imaging technology that enables clinicians to make real‑time decisions in patient care.