Process Engineer

AP Professionals has partnered with a local manufacturing company in search of a highly skilled Process Engineer with expertise in Python programming. The ideal candidate will have strong technical proficiency in optics, imaging, with a focus on product design and the development, configuration, and optimization of related manufacturing and metrology processes.

• Collaborate with Sales, Marketing, and Operations to transition new products from concept to production, ensuring they meet customer specifications for both standard and custom products.
• Design, develop, test, enhance, and document products, manufacturing processes, and test fixtures.
• Create and update work instructions for manufacturing processes to ensure consistency and efficiency.
• Establish, document, and maintain calibration and preventive maintenance procedures for manufacturing, inspection, measurement, and test equipment.
• Develop and implement best practices, process improvements, and innovative solutions to enhance production efficiency, yield, and quality.
• Identify and troubleshoot product quality issues, conduct root cause analyses, and provide detailed investigation reports and rework instructions.
• Coordinate and execute ad-hoc engineering tests in collaboration with Operations.
• Provide proactive second- and third-level support to production operations, diagnosing issues and determining the most effective solutions.
• Recommend process improvements to enhance line efficiency and reduce costs, while assisting in implementing other suggested enhancements.
• Achieve financial and business goals by delivering accurate quality forecasts, managing programs within budget and timeline, resolving challenges, and driving strategic functional improvements.

• Bachelor’s or Master’s degree in Optical Engineering, Imaging Science, Electrical Engineering, Physics, or a related field.

• 2–5 years of experience in image analysis, photolithography, and optics manufacturing.
• Experience working within ISO 9001 and ISO/IEC 17025 quality management systems.
• Preferred certification in Lean Six Sigma, PMP, or other process improvement methodologies.

• Familiarity with barcode verification systems and industry standards such as ISO/IEC 15415, 15416, and 29158.
• Proficiency in Microsoft Office applications.
• Proficiency in Python libraries such as NumPy, SciPy, Matplotlib, and Pandas for data analysis and visualization.
• Ability to develop custom Python-based tools for product assessment.
• Knowledge of database systems, including SQL and NoSQL, for process data storage and retrieval.