Product Industrialization Engineer – DMS

About the role

The Product Industrialization Engineer – DMS will join Philips' Manufacturing Engineering team in Suzhou, focusing on sustaining and improving CT DMS detector production processes, driving yield, quality, and new product introductions.

Key responsibilities

• Maintain and continuously improve manufacturing documentation, work instructions, and training materials for CT DMS detector production.
• Provide technical training, handle daily production issues, conduct root‑cause analysis, and implement corrective actions.
• Support equipment installation, verification, calibration, maintenance, and drive change control for new products and processes.
• Define and improve key process parameters, inspection points, and acceptance criteria to boost yield and quality.
• Lead NPI, manufacturing transfer, and industrialization activities, including process validation, pilot builds, and production ramp‑up.
• Apply lean, automation, and digital manufacturing methods to increase productivity and reduce waste.
• Identify and introduce new equipment, tooling, and fixtures, managing qualification and release to production.

Required profile

• Bachelor’s degree in mechanical, electrical, automation, materials, industrial engineering or related field.
• Minimum 5 years of manufacturing or process engineering experience in a regulated, high‑reliability environment.
• Hands‑on experience with CT/DMS detector manufacturing, module assembly, calibration, testing, or similar precision processes.
• Experience in product industrialization, NPI, manufacturing transfer, and yield/quality improvement.

Required skills

• Statistical Process Control (SPC) and data analytics.
• Design of Experiments (DOE) and Failure Mode Effects Analysis (FMEA).
• Control plan development and 8D problem‑solving methodology.
• Knowledge of ISO 13485, QSR, MDR, CGMP, and MDSAP standards.
• Lean manufacturing tools, Kaizen, line balancing, and automation.
• Digital manufacturing and equipment qualification processes.