Process Engineer - Maytronics

About the Team

Our Engineering team connects innovation and design with real-world manufacturing.

We work closely with production to prevent issues before they happen and solve them quickly when they do.

About the Role

We are looking for a Process Engineer to join our NPI team, responsible for supporting new product introduction processes, as well as stabilizing and improving existing manufacturing processes in a multidisciplinary production environment.

The role combines hands-on work with production, process leadership, and data-driven analysis.

Responsibilities:

• Monitor and control process performance using production KPIs (e.g., FPY, yield), and lead proactive process improvements to ensure process stability and product performance.
• Analyze manufacturing and test data to identify trends (e.g., SPC).
• Provide ongoing production support and troubleshoot issues.
• Lead failure investigations (RCA) using standard methodologies (e.g., 5 Whys, Fishbone).
• Work across multiple cross-functional interfaces, including subcontractors and suppliers.
• Lead validation activities (V&V, IQ / OQ / PQ) for new manufacturing technologies, including process validation and risk assessment.
• Participate in product validation processes as part of the engineering team.

Requirements:

• B.Sc. in Engineering (Mechanical / Materials / Electrical / Chemical or related field).
• 3+ years of experience as a Process / Manufacturing / NPI Engineer
• Experience in process performance monitoring and control
• Experience in leading failure analysis (RCA)
• Must have experience working with statistical tools for data analysis
•  (e.g., JMP, Excel or similar tools)
• High level of English

Technical Skills

• Strong technical mindset with the ability to understand products and processes.
• Fast learner with the ability to handle complex systems.
• Experience with multidisciplinary products.
• (mechanics, electronics, software, plastics, ATE systems).
• Ability to interpret manufacturing and test data and translate it into root causes related to product or process issues.